DGC Search is boutique search firm connecting industry-leading companies with exceptional talent in Quantitative Finance, Data Science, Data Engineering &amp; Software Engineering. We provide highly bespoke permanent and contract recruitment solutions.  

Our expertise streamlines the hiring process, bringing you the top talent with maximum speed and efficiency. We’re passionate about building long term partnerships, and diving deep into your culture to truly understand your talent acquisition needs. We maintain the human connection while employing cutting-edge AI recruiting tools for talent insights, sourcing, and outreach.

Founder Denis Goncharov-Carey offers 15+ years of industry experience with a proven track record of completing contingency and retained search assignments from Analyst, VP, Director, MD, to C-suite level. He has represented some of the world’s leading Investment Banks, Hedge Funds, Asset Managers, Fintech firms, and Fortune 500 companies in range of industry sectors.

DGC Search

DGC Search is boutique search firm connecting industry-leading companies with exceptional talent in Quantitative Finance, Data Science, Data Engineering & Software Engineering. We are dedicated to our mission of streamlining the recruiting process by maintaining the human connection and offering a highly bespoke service, while employing cutting-edge AI recruiting tools for talent insights, sourcing, and outreach. We provide permanent and contract recruitment solutions.We’re passionate about building long term partnerships, and diving deep into your culture to truly understand your talent acquisition needs. Fast moving sectors require an agile talent acquisition partner to enhance your search by identifying, attracting, and delivering top performers with maximum speed and efficiency.Founder Denis Goncharov-Carey offers 15+ years of industry experience with a proven track record of completing contingency and retained search assignments from Analyst, VP, Director, MD, to C-suite level. He has represented some of the world’s leading Investment Banks, Hedge Funds, Asset Managers, Fintech firms, Startups, and Fortune 500 companies in a range of industry sectors.https://dgcsearch.com/Denis@dgcsearch.com

Founder

We exist to build the House of Oculus – a coalition of the ultimate recruitment elite, always available under one accessible roof.

Our network of specialists are on a mission to meaningfully change the state of play within recruitment, becoming a master of all trades, and Jack of none.

Currently in the process of expanding and launching a series of new brands. Searching for ambitious individuals to pioneer their own industry for various new sub-brands; from tech to legal, healthcare to construction, and many more.

Bored of being the best biller in your agency but receiving a meager amount of commission?...

Then come and join the House of Oculus and earn WAY more! Plus - you work HOW you want, WHERE you want and WHEN you want!

Oculus Group

Partner

Since 1991, BrainWorks has been providing smarter executive recruiting services in the practice areas of Consumer Insights, Consumer Products, Decision Sciences, Market Research, and Relationship Marketing.

We find leaders. And innovators. And do-ers. We help our clients find the people who will drive their future success.

At our core, we are executive recruiters. We find talent. 

Great jobs. Better insight. Exceptional support.
And at BrainWorks, we have the connections to lead you to exceptional career options in your field.
When you partner with BrainWorks, we act as your career advisor and opportunity scout. Our job is to find the opportunities that are the best match to your skills, experience and ambitions.

Better talent. Faster hires.
Our professional researchers will source the best talent in the field…not those just looking for work.
When you partner with BrainWorks, your company receives business intelligence and industry expertise from professional search consultants who are trustworthy, caring and passionate about your success.

At BrainWorks, we pride ourselves on developing long-term consultative relationships that will help you enhance your career or assist your company to staff more strategically. When you partner with BrainWorks, your company receives business intelligence and industry expertise from professional search consultants who are trustworthy, caring and passionate about your success.

BrainWorks

National Practice Leader with 15+ years of recruiting industry experience within Quantitative Finance & Technology, partnering with Investment Banks, Hedge Funds, Asset Managers, FinTechs, and Startups across a range of industry sectors in Europe and the US. Contact number: +1 646 939 9734

National Practice Leader, Managing Director - Quantitative Analytics & Technology

Since 1980, ANALYTIC has been a leader in contingent and retained staffing of both permanent and contract roles that require advanced quantitative and technology-driven skills. We specialize in sourcing top talent in AI, Data Science, Quantitative Analytics, and IT.

Our nationwide practice focuses on connecting professionals with quantitative roles across diverse industries, including:

o	Data Science and AI
o	Data Analysis
o      Decision Sciences
o	Alternative Data Research
o	Asset Management
o	Consumer and Commercial Risk Management
o      Pharmaceutical and Life Sciences 
o	Capital Markets
o	Marketing and Digital Analytics
o	Quantitative Research
o	Technology
o	Structured Products
o	Investment Portfolio Management
o	Fixed Income and Equity Risk Management
o	Private Equity and Hedge Funds
o	High-Frequency Trading
o	Product Control and Valuation
o	Statistical Analysis
o	Business Intelligence
o	Operations Research
o	Supply Chain Management

For over four decades, we’ve built a reputation for delivering exceptional talent solutions to meet the evolving needs of businesses across the nation.

Please visit our website for more information at www.analyticrecruiting.com.

Analytic Recruiting

My specialist areas:•	Quantitative Analytics, Portfolio Management, Trading & Research. •	Software Engineering: Back-End, and Full-Stack; C++, Java, Python, C#, JavaScript.•	Data Science, Data Architecture, Data Engineering.

Executive Recruiter - Quantitative Analytics and Software Engineering

Founded in 1990, Solomon Page is a leading staffing and executive search firm headquartered in New York City with offices across the United States. The success of Solomon Page is defined by its people. Built on a

Solomon Page

I am an experienced executive search consultant with over 8 years of talent acquisition expertise across a global client base of Financial Technology firms, Investment Banks, Hedge Funds, Asset Managers and Proprietary Trading firms.I specialize in talent acquisition within software engineering and quantitative finance across multiple asset classes and business areas: electronic trading, quantitative analysis, modeling & research; systematic, automated and algorithmic trading; quantitative development and front-office software development assignments for full-time and consulting personnel. 

Executive Search Consultant

Cititec Associates

I predominantly cover the insurance market with a specialism in the Underwriting & Broking sector. I have a successful track record of identifying and securing the top talent for clients in London, Zurich, Bermuda and North America. I am a chosen partner on complex mid-senior appointments working with reinsurers, brokers, consulting firms and boutique software houses. Separately, I am also assisting with new business and delivery in the financial technology market across London and New York. I have a successful track record of placements in Sales, Algorithmic Trading, Product Development, Quantitative Finance, Data Science, R&D and Financial Engineering. We’re proud of our ethical approach and our technical expertise. We believe in the technical training and support we give our people and we value the strong culture we've created as a team. We call our approach: Human recruitment for a technical world.

Principal Consultant

Elgin White

I covered a range of search mandates across front and middle office functions for a diverse client base consisting of investment banks, asset managers, hedge funds, brokers and financial technology providers.

Senior Consultant

Denis Goncharov-Carey

Seeking an Applied Research Engineer in SF, on-site 5 days/week. Must have Python expertise, strong ML/deep learning (TensorFlow, PyTorch), and experience in startups. Interest in video AI essential; work involves building AI pipelines for video processing. Stellar communication required. Visa sponsorship available. Salary: $120k-$225k.

Xiang He, Ph.D.

Satvik Bhatnagar

Berkay Kanberoglu

Gongli Duan

Arnav Kapoor

Yifan (Evan) Wu

Kenneth Koh

Dylan Ler

Ammar Haydari, PhD

Aura Arefeh Yavary

<a target="_blank" rel="noopener noreferrer nofollow" href="https://www.sievedata.com/">Sieve</a> is an AI compute platform for video. Our goal is to build useful primitives to understand, manipulate, and create video so we can accelerate all applications of it.Today, video makes up over <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.socialpilot.co/blog/video-marketing-statistics">82% of internet traffic</a> and every application of it is growing extremely quickly — media, communications, VR, gaming, robotics, automotive, etc. TikTok went from 0 → 2B users in the last decade. Video conferencing is used many times a day by every knowledge worker. <a target="_blank" rel="noopener noreferrer nofollow" href="https://deepmind.google/technologies/veo/veo-2/">Google’s Veo 2 model</a> generates physically realistic video. Waymo now has <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.thedriverlessdigest.com/p/waymos-market-share-is-now-equal">more market share than Lyft</a> in SF ride share. Tesla is scaling humanoid robots.As these applications grow, the need to process video grows too. But unlike other data types, video is complex, and applications of it require purpose-built pipelines to tackle specific problems. Some examples:<ul><li>Translating videos with perfect voice timing + intonation and on-screen text manipulation</li><li>Tracking which person is actively speaking in a video</li><li>Collecting &amp; cleaning millions of highly emotive talk head video for foundation model training</li><li>Tracking eye gaze and exact emotion of people as they react</li><li>Separating the foreground and background of a high-motion video clip</li><li>Finding all the most interesting plays in a sports game recording</li></ul>At Sieve, we engineer production-grade pipelines to understand, manipulate, and create video — along with flexible abstractions to run custom pipelines. These pipelines already power core features in some of the most popular creative and social video platforms in the world, and are also helping research teams collect &amp; annotate large datasets to train better video models.Why developers use SieveThe unique complexity of video requires both R&amp;D and infrastructure that is intricate, expensive, and time-consuming to build in-house. Sieve comes with a set of production-grade pipelines engineering teams don’t need to worry about building or maintaining, along with infrastructure abstractions that make it easy to develop increasingly complex and specific video processing tasks on top.

Co-Founder, CEO

Sieve

Sieve is the AI developer platform for video. We build & manage production-grade pipelines that can understand, manipulate, and create it for a variety of applications. These pipelines serve as useful primitives which developers can then use to power their applications across industries like communications, social, media, robotics, and VR.

We're looking for an Applied Research Engineer to join our team in SF! This person will build <a target="_blank" rel="noopener noreferrer" class="notion-link-token notion-focusable-token notion-enable-hover" href="https://www.sievedata.com/explore">pipelines</a> that understand, manipulate, and generate video. Often this involves working on ambiguous research problems and finding clever techniques to solve them. We're looking for people who are comfortable working with models and squeezing every drop of performance out of them through clever pre/post-processing, pipelining, inference optimization, and fine-tuning.

Applied Research Engineer

Senior Backend Engineer at Legion Health: Must have 5+ years in backend development, Node.js, TypeScript, PostgreSQL. Experience with event-driven architectures (Kafka, RabbitMQ), real-time data processing, HIPAA compliance. Work on AI-powered healthcare systems. U.S.-based, San Francisco or Austin, hybrid work. No visa sponsorship. Salary $70K-$200K.

Hang Zhao

Yazad Khambata

Pavel Zheltov

Anish Karandikar

Matthew E.

Michael Smith

Legion Health is a pioneering telepsychiatry company dedicated to transforming patient care through advanced technology. We leverage cutting-edge language models and robust data analytics to enhance our patient-provider interactions, improve access to mental health services, and streamline our clinical operations.Our mission is to integrate innovative AI solutions into every facet of psychiatric care, ensuring providers and patients benefit from the most effective and efficient treatment strategies.We're backed by Y Combinator and the world’s best VC firms and angels such as Erica Johnson, co-founder of Modern Health; Ravi Shah, chief innovation officer of Columbia Psychiatry; Jeffrey Leerink, CEO of SVB Leerink; Robert Musslewhite, president of Definitive Healthcare; and Jay Desai, former CEO and founder of PatientPing, UpHonest Capital, and Soma Capital.

Co-Founder and CEO

Legion Health

Legion Health | Senior Backend Engineer – AI-Driven SystemsAbout Legion HealthLegion Health is transforming telepsychiatry with AI-driven operations, making mental healthcare faster, more efficient, and more accessible. We’re a YC-backed startup that’s not just using AI for diagnostics—we’re embedding AI deeply into scheduling, billing, provider workflows, and patient interactions to create a seamless care experience.We are looking for top-tier backend engineers who thrive in high-velocity, AI-first environments and want to build technology that meaningfully impacts patient care.Why This Role?As a Senior Backend Engineer, you will:✅ Own the architecture of a scalable, AI-powered healthcare platform. ✅ Design &amp; implement event-driven systems that power automation across scheduling, billing, and care coordination. ✅ Build real-time patient and provider workflows that improve efficiency and reduce friction in telepsychiatry.✅ Develop event pipelines to process and structure operational data (call transcripts, scheduling metadata, billing logs). ✅ Ensure high availability &amp; compliance while handling sensitive PHI data in a HIPAA-compliant environment. ✅ Collaborate closely with AI and frontend teams to integrate LLM-powered features directly into care delivery.What You’ll Work On🔹 Architecting &amp; Scaling:<ul><li>Design and implement a highly scalable, event-driven backend using Node.js, Supabase (Postgres), and AWS.</li><li>Optimize infrastructure for real-time data processing while maintaining security and compliance.</li></ul>🔹 AI-Powered Systems:<ul><li>Build workflows integrating LLM-powered automation for tasks like intake processing, scheduling optimization, and automated billing validation.</li><li>Work with AI engineers to embed operational AI into core platform features.</li></ul>🔹 Event-Driven Architecture:<ul><li>Develop robust event pipelines for capturing and processing structured operational data (e.g., call transcripts, appointment changes, payment history).</li><li>Implement event-driven microservices using Kafka, RabbitMQ, or webhooks.</li></ul>🔹 Security &amp; Compliance:<ul><li>Maintain HIPAA compliance while handling patient health data.</li><li>Optimize backend security for data integrity, authentication, and compliance monitoring.</li></ul>What We’re Looking For✅ 5+ years experience in backend development, with expertise in:<ul><li>Node.js, TypeScript, PostgreSQL</li><li>Event-driven architectures (Kafka, RabbitMQ, event sourcing)</li><li>Real-time data processing (webhooks, ETL pipelines)</li></ul>✅ Experience with LLM-powered applications (no deep AI expertise required, but must be comfortable working with AI systems).✅ Strong security &amp; compliance mindset (experience with HIPAA, SOC 2, or other regulated environments is a major plus).✅ Ability to work in high-velocity startup environments—fast iteration, quick decision-making, and shipping high-impact features.Tech Stack✔ Backend: Node.js, TypeScript, PostgreSQL (Supabase) ✔ Infrastructure: AWS, event-driven architecture, microservices ✔ Data Processing: Kafka, RabbitMQ, ETL pipelines, event sourcing ✔ Security &amp; Compliance: HIPAA, SOC 2, authentication🚀 Join us in revolutionizing AI-powered mental healthcare!

Founding Senior Backend Engineer 💻 (Event-Driven Architecture, AI-Enabled Systems)

This role requires in-person collaboration with our engineering team. We are looking for candidates who are open to relocating to work closely with the team as needed, likely in San Francisco.

**Key Requirements:** Bachelor's/Master's in CS from top-tier university highly valued. Strong backend engineering, full-stack capabilities, expertise in Node.js, AI/LLM development. Proven 0-to-1 system design in startups. **Responsibilities:** Build/scale AI-driven backend systems, solve complex AI workflows. **Location:** SF, on-site. **Visa:** Sponsorship available. **Salary:** $170K-$240K.

Jeremy Brown

Empowering healthcare practices to capture new patients from missed calls with AI, specially during after hours and weekends.  ✅ Never miss a new patient again after hours  ✅ Prevent potential patients from going to your competition. ✅ Increase your revenue

Resonate AI

At Resonate AI, we help healthcare practices generate significant revenue. Our first AI product captures missed opportunities like after-hour calls, engages with patients and books them. In last 2 months, we have closed seven-figure pilots and growing 70% month over month. We have recently raised funding from great investors and now looking for our #1 and #2 Founding Engineers.What You'll Do<ul><li>Take full ownership of building great conversational AI experiences to produce reliable customer outcomes.</li><li>You will build the platform from the ground up: architecting, building, and deploying our product to customers.</li><li>Solve complex AI workflows related to conversations. The best candidate thrives on solving highly technical challenges, delivering fast and high quality solutions.</li></ul>What You Need<ul><li>Winning Mindset and Attitude: A winning mindset with a relentless drive to succeed. Startups are hard, and thus willingness to go the extra mile is essential. This is not 9-5 job, we have to work hard and smart.</li><li>Proven Track Record with more focus on Back end: Demonstrated success in shipping high-quality products and features at scale. Architect and develop back-end and front end systems.</li></ul><ul><li>Backend: NodeJS using NestJS framework</li><li>Frontend: React with NextJS, TailwindCSS</li><li>Obsession for Growth: Desire to work in a fast-paced environment, continuously learn, and master your craft. You believe you are in the top 0.1% of engineers or can be in the top 0.1% if given the opportunity.</li><li>Bonus Points: Previous founder experience.</li></ul>----Technical Challenges Focus On:<ol><li>AI agent reliability</li><li>Complex scheduling logic (multiple calendar types)</li><li>Integration with practice management systems</li><li>Schedule optimization algorithms</li></ol>System Requirements:<ul><li>Must handle multiple calendar types (hygienist, operations, Invisalign consultations)</li><li>Need to understand and route different appointment types</li><li>Calendar integration and management</li><li>AI conversation handling and intent recognition</li></ul>

Founding Engineer #1

In person (Financial District, San Francisco, CA). Temporary remote permitted during visa transition.

Founding BDR/SDR, 1-2 years experience or new grads from top universities with competitive backgrounds. Cold calling, high-performing, scrappy, startup enthusiast. Generate SQLs via cold outreach, collaborate on leadgen and GTM projects. San Francisco, on-site, visa sponsorship available. Salary: $50-60k.

Zaahir Khaliq

Nate Pegram

Tanay K.

Reese Wazny

Brandon Cruz

At <a target="_blank" rel="noopener noreferrer nofollow" href="http://Bland.ai">Bland.ai</a>, our goal is to empower enterprises to make AI-phone agents at scale. Based out of San Francisco, we're a quickly growing team striving to change the way customers interact with businesses. We are backed by some of Silicon Valley's finest; Including founders of Twilio, Affirm, ElevenLabs, and many more.

Bland

We’re scaling up fast and need your help to find several standout BDRs. They will serve as the foundation as we continue to expand our org, meaning they should be excited at the idea of stepping into a lead/coaching role within the year as we grow. We need BDRs who’ve excelled for at least a year, especially those strong startups or smaller companies (&lt;200 employees). Ideally, these reps have experience in founding roles

Business Development Representative

Research Engineer, ML needed. Deep expertise in deep learning, multivariate calculus, PyTorch/TensorFlow. Must thrive in fast-paced startup. Preferred: PhD or 2+ years in production ML, experience with real-world ML applications, top-tier university background. Responsibilities: design custom loss functions, optimize models, align research with business. On-site, visa sponsorship available. Salary: $120K-$180K.

Yuzi H.

Thomas Pumir

Taking Silicon Valley-grade AI to the world, through repeatable, reliable and robust AI building blocks.  The software engineer's AI home.

Emissary

We are looking for an exceptional Research Engineer, ML who has deep expertise in deep learning and a strong grasp of multivariate calculus. The ideal candidate has a solid track record of building and optimizing novel machine learning models, understands the inner workings of neural networks at a fundamental level, and is eager to push the boundaries of ML research. Key Responsibilities:<ul><li>Design and implement custom loss functions and novel model architectures.</li><li>Conduct cutting-edge research on discriminative and generative modeling techniques.</li><li>Optimize deep learning models for performance and scalability in production.</li><li>Work independently to define, experiment, and iterate on research ideas.</li><li>Collaborate closely with the founding team to align research with business objectives.</li></ul>Requirements:<ul><li>PhD in ML/AI, CS, or related field OR 2+ years of experience as a Research Engineer in a production-grade ML environment.</li><li>Deep familiarity with the internals of deep learning models (e.g., back-propagation, optimization techniques, architectures).</li><li>Strong foundation in multivariate calculus, linear algebra, probability, and optimization.</li><li>Proficiency in PyTorch or TensorFlow.</li><li>Ability to work independently and thrive in a fast-paced startup environment.</li></ul>Preferred Qualifications:<ul><li>Background in cutting-edge ML research (e.g., CVPR, NeurIPS, ICLR publications).</li><li>Experience at hyper-growth M L startups or teams.</li><li>Experience implementing ML research for real-world applications.</li><li>Strong preference for candidates from universities with a track record of deep rigor (CMU, Berkeley, Waterloo)</li><li>Track record of working on self-driven projects (open-source, side projects etc) deeply connected to personal experiences</li></ul>

Research Engineer - Applied ML

San Francisco (5 days in-office required). Typically 9am-6/7pm, outcome-focused rather than hours-focused.

Join Sieve as a Product Engineer in SF or NYC. Must excel in JavaScript, Vercel, Next.js, Go; TypeScript, React preferred. Build developer interfaces (frontend, CLI, API). Passion for AI in video/audio essential. Requires on-site work; visa sponsorship available. Salary: $125K-$200K.

Matin Massoudi

Michael Lombardi

We're looking for a Product Engineer to join our team in NYC or SF. This person will focus on the interfaces a developer interacts with when using Sieve, including our frontend dashboard, native Python client, CLI, API, and documentation.Sieve’s product involves a frontend website + dashboard, a Python client, a CLI, and an API (<a target="_blank" rel="noopener noreferrer nofollow" href="https://docs.sievedata.com">https://docs.sievedata.com</a>). They'll spend most of their time building improving these things and should have a great knack for what a delightful developer experience feels like.Our current stack for these things involve Next.js, Python, Go, and Kubernetes though candidates don’t need to be familiar with all of it to start.

Product Engineer

About the role
Sieve’s product involves a frontend website + dashboard, a Python client, a CLI, and an API (https://docs.sievedata.com). You’ll spend most of your time building improving these things and probably have a great knack for what a delightful developer experience feels like.

Our current stack for these things involve Next.js, Python, Go, and Kubernetes though you don’t need to be familiar with all of it to start.

Great attention to detail and obsessing over the little things
Prior experience shipping full stack products
Great communication skills
Interest in machine learning
Check out this page to learn more about the company and what it's like to work with us!

https://sievedata.com/about/jobs

About Sieve
Sieve is a specialized cloud built for video / audio AI.

Every video product today is being overwhelmed by a ton of new use cases that are enabled by AI. Video is unique in that it’s much more compute and data-intensive to process or generate compared to other modalities. This leads to a ton of complexity around the ways models are run, the kinds of extra processing needed to happen around them, and the complexity of pipelines that solve the most valuable use cases in the modality. To this end, Sieve’s strongest and most immediate value proposition comes from being an AI toolkit that solves problems unique to video — unlike generic AI developer tools that might exist today.

Video is just the start however. Learn more about our long term vision here!

Remote (US), no visa sponsorship. Senior Engineer for Computer Vision team. Must have PhD/Master's in CS or related, 3+ years in 3D computer vision, strong C++ skills, familiarity with CUDA/Metal/OpenCL. Focus on algorithms, production code, and team leadership. Salary: $155k-$205k.

Mikhail Teverovskiy

Russell Spiewak

Ian George

Compound Eye enables machines to understand their surroundings in 3D and in real time using only passive sensors like cameras and IMUs. Our VIDAS™ technology takes video from automotive-grade cameras and outputs a dense, semantic 3D representation of the world that vehicles and robots can use to navigate their environment. VIDAS is a fully redundant alternative to LiDAR and radar. Compound Eye has customers in automotive, agriculture, healthcare, and defense and is backed by Khosla Ventures and other leading investors.

Compound Eye

We're looking for a great engineer to join our US team of fourteen. Our mission is to teach machines to see. Our culture is based on transparency, mutual respect, mutual accountability, and valuing great ideas no matter where they come from. We already have revenue and our Series A round was led by a tier one VC. We are a remote-first company with employees across the United States. We had remote employees long before the pandemic and our team is now distributed across three states. We will ensure you have everything you need to work from home and the option to work from an office when it is safe to do so. We also offer competitive benefits including comprehensive health care plans, 401k with matching, flexible schedules, and discretionary PTO.

Senior Engineer, Computer Vision

Compound Eye enables machines to understand their surroundings in 3D and in real time using only passive sensors like cameras and IMUs. Our VIDAS™ technology takes video from automotive-grade cameras and outputs a dense, semantic 3D representation of the world that vehicles and robots can use to navigate their environment. VIDAS is a fully redundant alternative to LiDAR and radar. Compound Eye has customers in automotive, agriculture, healthcare, and defense and is backed by Khosla Ventures and other leading investors.
As a computer vision engineer at Compound Eye you’ll contribute to design and development of various core technologies and products, such as real-time perception, 3D reconstruction, visual-inertial odometry, and more. You will:
Contribute to the development of state-of-the-art techniques and algorithms for robotic perception
Write production code in C++ for a variety of platforms, including GPUs
Help to recruit and potentially lead a team of similarly-qualified engineers
To thrive in this role you have:
A good grasp of linear algebra
Extensive experience writing production quality code in C++
Familiarity with highly parallel programming frameworks such as CUDA, Metal or OpenCL
We’re looking for a great engineer to join our US team of fourteen. Our mission is to teach machines to see. Our culture is based on transparency, mutual respect, mutual accountability, and valuing great ideas no matter where they come from. We already have revenue and our Series A round was led by a tier one VC. We are a remote-first company with employees across the United States. We had remote employees long before the pandemic and our team is now distributed across three states. We will ensure you have everything you need to work from home and the option to work from an office when it is safe to do so. We also offer competitive benefits including comprehensive health care plans, 401k with matching, flexible schedules, and discretionary PTO.
Compound Eye is committed to building a diverse and inclusive work environment. We understand that no candidate is perfectly qualified for any job and experience comes in different forms. We encourage you to apply if you see yourself being successful in this position.

Additional Notes:
Direct classical computer vision experience
Of particular interest are people that worked with pose estimation, calibration and sensor fusion.
Experience (and interest) focused on classical algorithms.
They will be creating and implementing very mathematically involved algorithms.
They will implement them in C++.
Heavy skills in 3D math & non-linear optimization.
We don’t prioritize years of work, but I would be surprised if anyone with fewer than 3 years experience hits this.
Work history and skills are more important than degrees and alma maters.
Transparent that we work in defense. We know this isn’t for everyone and our product is focused on consumer vehicles long-term, but for now, we do have defense projects.
Posted Range: $155-205 USD
Some travel required: ~5%
At this time we can’t accept visa candidates for this role due to government contracts. US Citizens or Greencards only.
Interview Process:
Application Review
Coding Challenge
Technical Interview (45 minutes)
Multipart Technical Interview
Offer
Company Notes:
Remote First, Permanently
US Based only
Can work from our office in Redwood City, but most days it’s empty
Team get togethers a couple times a year are optional but highly recommended
Equity (still under 20 EEs)
Medical/Dental/Vision
401k w/ match
Discretionary PTO (and we mean it)
Paid Family Leave

Must be a US citizen or current green card holder

Remote (US), working in PST, up to 5% travel required

Senior Backend Engineer in SF, hybrid. Architect backend systems in Typescript/Node. Must have deep distributed systems knowledge (Kafka, Clickhouse), product/customer focus, visual design sense, and startup experience. Prioritize early-stage startup background, CS degree, and hybrid work capability. No visa sponsorship. $180K-$250K.

Lukas Steiblys

Replo helps companies sell on the internet.We do this by helping teams automate performance marketing with data and AI agents.Today, companies on the internet spend a fortune trying to figure out the right audience, messaging, and experience to maximize revenue online.They spend 100s of hours digging through analytics tools, ad platforms, and spreadsheets every month, and $100,000+ on marketing agencies and developers.We think most of this can be automated in the next 4-5 years.We built Replo to analyze your online traffic, provide deep insights, test new ideas, and implement those strategies 10-100x faster. Instead of taking weeks to launch a new product online, all you'll need to do is give Replo a budget, a product, and a target market and we'll figure out the rest.

Replo

About the roleWe're hiring a senior backend engineer to join our team and focus on system architecture behind a lot of our most popular products.Things you'll be working onArchitecting and implementing backend systems in Typescript/Node is the core of what you’ll be doing. Real examples include —<ul><li>Designing and building an ingestion pipeline for Replo Analytics (&gt; 99.99% uptime on Kafka, Clickhouse, Redis)</li><li>Building out an A/B testing platform (Cloudflare)</li><li>Spiking on our CI platform to improve stability</li><li>Deploying a multi-tenant NextJS app to render pages on Cloudflare and automatically revalidate in response to queued webhook handlers</li><li>Mentoring junior engineers on best-practices</li></ul>

Senior Backend Engineer

About the role
Hiring a senior backend engineer to join our team and focus on system architecture behind a lot of our most popular products.


Things you'll be working on
Architecting and implementing backend systems in Typescript/Node is the core of what you’ll be doing. Real examples include —

Designing and building an ingestion pipeline for Replo Analytics (> 99.99% uptime on Kafka, Clickhouse, Redis)

Building out an A/B testing platform (Cloudflare)

Spiking on our CI platform to improve stability

Deploying a multi-tenant NextJS app to render pages on Cloudflare and automatically revalidate in response to queued webhook handlers

Mentoring junior engineers on best-practices

Looking for someone who
Can be hybrid in San Francisco.

Has deep knowledge in distributed systems and SOA — load balancers, databases, queuing, caching, HTTP, APIs, high-availability, fault tolerance, redundancy, at-least-two-of-everything.

Down to do full-stack work (including frontend even if it's not your main role).

Is ALWAYS SHIPPING. We don't spend weeks planning features at Replo.

Has 4+ years of professional experience with production distributed systems, service oriented architecture.

Proficient in Typescript. If you have experience writing these systems in Python/Go/Java that’s cool too, as long as you’re willing to learn Typescript/Node — the learning curve on writing TS isn’t that high for high-caliber engineers. Experience or working knowledge of React is great too, but we can teach you that if we need to.

Has a product and customer-focused mindset.

Has experience being burned by deployment and maintenance issues. If you have a a strong opinion on how backend systems should be built, that’s good.

Values writing clean, maintainable software, including documentation (e.g. the code needs to be correct and run fast, but we’re the ones that have to read it and understand it).

Is comfortable with ambiguity and defining software architecture patterns to solve customer pain points.

Bonus points if you
Have started a company before

Enjoy attending hackathons

Worked at an early-stage (Series A or earlier) startup previously

Have not wasted hours interview-prepping on Leetcode

Have an eye for visual design (or past experience in product design, Figma, etc).

The salary range offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered.

Replo is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Note on Visas — At this time, Replo is unfortunately unable to support employees on visas.

Seeking top-tier ML Engineer in SF, on-site. Must excel in competitive pursuits, grasp modern programming languages/AI frameworks (Python, LangChain, etc.), database tech (Postgres), AWS. Proven substantial build (open-source/side project). Solve real user problems, learn independently. No visa sponsorship. Salary: $150K-$250K.

Jackson Qi

We're building AGI for financial institutions.Casca was founded by banking industry and machine learning experts from Stanford University. The company is backed by industry veterans &amp; top-tier venture capital investors, including: Peterson Ventures, Y Combinator, The Sarah Smith Fund, and Clocktower Technology Ventures.Experience the future of lending for yourself! FDIC-insured banks and fintechs use Casca to process business loan applications with 90% less manual effort and 300% higher conversion rates. Casca's AI Loan Assistant communicates with applicants via email and SMS - reactivating up to 50% of churned leads. Casca is built upon responsible, compliant AI practices, including human-in-the-loop monitoring.

Casca

Small businesses are the heart of the American economy and a lot of banks shy away from providing funding because of the manual effort in pursuing those deals. With us, that changes and unlocks affordable, quick bank funding for the 30M+ small businesses in the US as opposed to the high interest rates from predatory online lenders.As an Senior ML Engineer, you will see your work repeatedly shipped to automate 1000s of real world conversations, helping small businesses get affordable funding.All-Stanford Founding Team<ul><li>Lukas (Stanford MBA), grew a banking software company to $150M+ ARR &amp; 400+ employees.</li><li>Isaiah (Stanford CS), build a conversational AI platform to handle 20M+ conversations each year @ a Series D startup ($1B+ valuation).</li></ul>Our Culture<ul><li>Ownership: We take responsibility and do not assign blame. Building great software is hard and when something is broken, we ask ourselves "How can I fix it?"</li><li>Competition &amp; Excellence: We are a fun group of former competitive athletes and gamers. We like to win and we know that the only thing between us and the title is our own ability to improve every day.</li></ul>What you'll do:<ul><li>Contribute rapidly to our software platform that automates the lending process and helps our customers operate their banks more efficiently</li><li>Develop and own new features that increase value for our customers</li><li>Propose meaningful improvements to our AI system, software architecture and design patterns</li><li>Learn and drive engineering best practices</li><li>Leverage automating testing and continuous integration / continuous delivery in order to rapidly iterate on our product</li></ul>

Senior ML Engineer

Open to candidates on OPT/STEM OPT. Currently not set up for full H1B sponsorship. 50/50 process for right candidates already in US

ML Engineer with strong Python, deep learning frameworks. Experience in building production ML models. Mix of startup/big tech experience preferred. Responsibilities: Develop AI models for SVG generation, collaborate with a small team, innovate and implement solutions. Location: US/Canada, remote. Visa: Sponsorship available.

BioRender is revolutionizing how science is communicated, one graphic at a time (you can think of us as the Adobe or Canva for science!). We're on a mission to accelerate science by empowering all scientists to quickly and easily communicate their research. We are a team of passionate scientists, engineers, science illustrators, designers and entrepreneurs backed by an incredible group of investors, including YCombinator. We nerd out on cool science stuff and solving big problems. We work really hard and sweat the details to deliver a high impact product that our users love.Check out our customer love here: <a target="_blank" rel="noopener noreferrer nofollow" href="http://biorender.com/testimonials">biorender.com/testimonials</a>

BioRender

Role Overview Join BioRender as one of our first ML engineers working on a novel challenge: developing AI models that generate scalable vector graphics (SVG). Unlike traditional image generation models that produce pixelated outputs, you'll be pushing the boundaries of what's possible with editable, scalable vector graphics generation.What You'll Do<ul><li>Design and implement novel ML architectures for vector graphics generation</li><li>Research and evaluate cutting-edge approaches in generative AI and computer vision</li><li>Drive technical decisions around model architecture and deployment</li><li>Collaborate with a small, high-caliber team of ML engineers</li><li>Balance research innovation with practical implementation</li><li>Identify opportunities for leveraging existing open-source solutions</li><li>Build and deploy production-ready ML models</li><li>Set technical direction for core ML infrastructure</li></ul>

Machine Learning Engineer

Fully remote with flexible hours; Optional participation in:  Hackathons (periodic) with annual on-site meetup

AI Deployment Engineer at BrainCo: Develop and deploy AI software solutions using React, Typescript, Python, JavaScript. Work with microservices, cloud platforms. Must relocate to UAE for 1+ year; no visa sponsorship. Engage with clients, innovate in government/industrial sectors. Bachelor’s/Master’s in CS required. Salary: $150K-$270K.

Jonathan Hussey

Tejas Kamath

BrainCo is at the forefront of productionizing artificial intelligence for real-world problems, propelling advancements and shaping the future with pioneering work. Our mission is to ensure that the transformative powers and automation of AI are applied to real-world problems in various governments and industries where manual work is still dominant. We are seeking visionary AI Deployment Engineers with a passion for AI to join us. You'll be converting groundbreaking research into real-world applications that revolutionize industries, boost human creativity, and address complex challenges.

Brain Company

About The RoleAs an AI Deployment Engineer at BrainCo, you will play a pivotal role in building and deploying state-of-the-art software solutions to automate various real-world problems. You will work directly with the customer to develop the product spec and building from zero. From designing robust front-end interfaces to developing scalable back-end systems, you will turn research breakthroughs into practical solutions for various nation states. This role is your opportunity to make a significant impact by making AI technology both accessible and influential.In This Role, You Will:<ul><li>Innovate and Deploy: Design, develop, and deploy advanced software solutions that integrate AI to tackle real-world problems, particularly in automating complex, manual processes in government and industrial sectors. Utilize modern web frameworks, microservices architecture, and cloud computing to build applications that apply AI to intricate optimization challenges.</li><li>Make a Big Impact: Interact directly with key customer stakeholders to apply pioneering AI solutions while working alongside experienced ex-founders, government officials/ministers, AI researchers, and engineers. Understand complex business challenges and deliver software solutions powered by AI. Join a dynamic team where ideas are exchanged freely, and creativity flourishes. You will wear many hats: software development, product management, sales, and interpersonal skills.</li><li>Optimize and Scale: Build scalable data pipelines, integrate industrial sensor networks, optimize application performance and reliability, and prepare systems for production. Engage in projects including but not limited to optimizing the world's most advanced energy production systems, modernizing core government workflows, or improving patient outcomes in advanced public healthcare systems.</li><li>Learn and Lead: Stay abreast of the latest developments in software engineering and AI. Participate in code reviews, share knowledge, and set an example with high-quality engineering practices. Mentor junior engineers and lead by example.</li><li>Make a Difference: Monitor and maintain deployed applications to ensure they continue delivering value across various governments worldwide. Work directly with customer engineers and SMEs to develop and tune applications that optimize their workflows and deliver tangible upside. Your work will directly impact how AI benefits individuals, businesses, and society at large.</li></ul>

AI Deployment Engineer

FDE Criteria (Paraform)
Ideal candidate linkedin profiles for the role + why
●
Technically strong: Does not need to be the most technically strong engineer but must
be able to break down problems quickly and ship products. Speed of execution matters
more than quality.
●
Scrappy: Does whatever it takes to get things done
●
Ability to be Client-facing: Does not have to be perfect but must be a clear and
professional communicator when needed
●
Business-oriented: Can see the big picture and the business impact of their projects
●
Coachable: Takes feedback as a gift and wants to grow quickly
●
Free to move: Willing to move to UAE for 1 year
Current hires so far for this role include:
●
Kanav Petkar: Ex-YC founder, strong technicals, scrappy/hungry and strong
communicator. Very coachable as well.
●
Edin Citaku: An experienced Palantir FDE with strong understanding of the role.
Technically very strong, communication okay. However, very coachable.
Traits to avoid/red flags
●
●
●
●
Not keen on or does not understand the implications of joining a startup
High ego and only willing to do ‘senior’ work
Defensive and does not take feedback well
Mean/Negative/etc. Hard to be negative and work at a startup :)
Describing Brain Co's talent bar
Net, the bar is very high. We want the best-of-the-best by function but the FDE role in particular
needs to be people who are adaptable, hungry and high-slope.
As to how we’re viewing it as different from traditional SWEs:
●
●
Client-facing vs. Product development. FDEs work directly with clients; traditional
engineers typically have limited client exposure. FDEs require strong communication and
adaptability to manage client relationships and expectations.
On-site vs. Office based. FDEs often work on-site with clients, which requires high
empathy for their problems. Traditional engineers primarily work in the office or remotely
and focus more on teamwork.
●
●
●
Problem decomposition vs. Iterative development. FDEs are expected to break down
problems in real-time, while traditional engineers may follow iterative development
processes (sprints, testing, debugging).
Customization vs. Generalized software. FDEs tailor solutions to specific client needs
using pre-existing tools (“one customer, many capabilities”); traditional engineers
develop new software or features (“one capability, many customers”).
Domain expertise vs. Technical expertise. Both roles require deep technical
knowledge, but FDEs need more versatility across multiple systems and industries.
FDEs often develop domain-specific expertise, while traditional engineers focus more on
technical specializations.
Comp and workplace details
●
Comp: $170 - 250K base + significant equity
●
Workplace logistics:
○
Willing to move to UAE for 1 year
○
Can visit home (wherever that may be) on a quarterly basis
○
Requires to go on client-site for a significant period (typical month would be 1-3
weeks with clients, the rest in UAE office w/ other team members)
Interview process
1. Hiring and Recruiter screen
a. Background
b. Brain Co. Overview
c. Willingness to move
d. Fit with candidates goals
2. Technical screens
a. 1 coding interview + culture fit
b. 1 problem solving interview (w/ a former Palantir FDE)
3. On-site
a. 1 coding interview
2 hour case study + 1 hour panel presentation

Senior Machine Learning Engineer, San Mateo, CA, on-site. Master’s/PhD in CS/ML. Strong startup background, pre-Series A. Expertise in NLP, large language models. Full-stack ML from training to deployment. Python, Scikit-Learn, TensorFlow, PyTorch proficiency. AWS experience. Drive AI innovation for CX automation. Visa sponsorship available. $200k salary.

Customer support automation platform powered by generative AI and Low-code. Our mission is to bring effortless customer and agent experiences to every company that is obsessed with its customers but doesn't have an army of engineers.

KODIF

As a Senior Machine Learning Engineer, you'll be at the forefront of developing cutting-edge AI solutions for customer support automation. You'll have the opportunity to work on innovative projects that directly impact our product and customers.Responsibilities<ul><li>Drive innovation in our AI-powered customer support automation platform</li><li>Collaborate closely with product &amp; design and other teams to integrate ML solutions</li><li>Stay current with the latest advancements in AI and ML, particularly in NLP and GenAI</li></ul>

Senior Machine Learning Engineer

At least 3 days a week in office in San Mateo, CA

Senior ML Engineer at Fitbod. Focus on production ML systems, personalization, and recommendation algorithms. Collaborate with data scientists and engineers. Must have strong software engineering background, Python and ML frameworks expertise, and experience in health-tech. Remote, North America preferred. No visa sponsorship. Salary: $150K-$200K.

Elna M.

Strength training is a simple, accessible way for anyone to improve quality of life that’s hiding in plain sight. Fortunately, more people are discovering strength training than ever before. We’re not just focused on the advanced gym-goer. Rather, we are unlocking functional movement, strength, flexibility, and freedom from pain for millions of people.Our recommendation AI is used by hundreds of thousands of paying customers. It employs advanced statistics, machine learning, and over 400 million fitness data points to create highly personalized and flexible fitness plans.

Fitbod

Data-backed Workouts - Fitbod’s AI learns from each workout you do so you make more progress every time you train.

Constant Personalization - Fitbod builds workouts according to your exact preferences and optimizes each with exercise science.

Advanced Metrics - Fitbod’s breakthrough metrics show your strength gains, lifting ability and recovery status.

We are seeking a Senior Machine Learning Engineer to join our growing team. In this role, you will develop and deploy machine learning models that enhance the personalization and effectiveness of our fitness platform. You will work closely with product managers, data scientists, and engineers to deliver scalable and impactful solutions.

ML Engineer, NYC: Design/build ML agents for accounting workflows. Experience in LLMs, agent architectures, RL. Interdisciplinary, first-principles thinker, company builder. Full-time on-site, 5 days/week. Visa sponsorship available. Salary $100K-$300K. High growth, high responsibility, high reward. Join us to shape the future of finance tech.

Basis equips accountants with a team of AI agents to take on real workflows.We have hit product market fit, have more demand than we can meet, and just raised $34m to scale at a speed that meets this moment.Built in New York City. Read more about Basis <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.getbasis.ai/about">here</a>.Why join<ul><li>World class investors: We're backed by Keith Rabois from Khosla Ventures alongside Nat Friedman, Daniel Gross and many leaders from the ML and fintech community. Check out our announcement for an expansive list</li><li>Extremely fast growth: We’ve partnered with some of the largest accounting firms in the world, with revenue 10x-ing over the last 5 months</li><li>Be part of building a company: We’re scaling the team fast and the business faster, meaning there will always be more responsibility than we have people. No better place to get a ton of responsibility and ownership on day 1</li><li>In person &amp; interdisciplinary: We operate on the frontier of what’s technically possible. That is why being in-person is a must. We’re bringing together the brightest minds from the top engineering, ML, and accounting teams to work together in our NYC office and build production quality agentic systems</li><li>High risk: We believe the world is about to change in profound ways. We are building Basis to be on the cutting-edge of that change for a decade to come, and we have an appetite for the risk that comes with that. The journey has just begun</li><li>Compensation: We aim to pay competitively for cash compensation and well above market for equity compensation because the whole team is all-in, and we want you to be too</li></ul>

Basis

As a leader on our Agent Design team, you'll be responsible for designing, building and iterating on our system of agents that end-to-end complete workflows. You will work closely with our ML research team to incorporate the latest research, run experiments, and bring idea to life. We look for engineers who have experience with and/or a keen interest in LLMs, agent architectures, information theory, and RL.

Member of Technical Staff - ML & Agent Design (Staff)

Full-stack Engineer in SF, hybrid 3 days/week, no visa sponsorship. Must have CS degree from top university, 3-6 years experience. Proficient in Typescript/React/Node. Experience with deployment issues, hackathons, fast-paced environments, and building products 0-1. Former founder or early-stage startup experience preferred. Salary: $120k-$250k.

Sebastian Su

Replo helps companies sell on the internet. Today, our platform helps ecommerce businesses automate performance marketing with data and AI agents.Founded in 2021 by Yuxin Zhu and Noah Gilmore, we've experienced rapid growth, surpassing 1,000 paying customers in just six months.We are hiring a mid to senior/staff level full-stack engineer to join our team in-person 3 days/week in San Francisco and focus on shipping products.

Software Engineer (Full-Stack)

At this time, Replo is unfortunately unable to support employees on visas.

Build machine learning systems for AI-driven capital allocation. Must have strong AI idea generation history, exceptional engineering skills, top school background (Stanford, CMU, Harvard), and fluency in English. Located in San Francisco, hybrid work model, visa sponsorship available. Salary: $150K-$250K.

Jonathan Bourne

Mana is a research lab building an artificially intelligent investor. We sell contracts to financial firms, private equity and wealth management firms, as well as VCs. We help any firm looking to optimize their workflows with AI. We are semi in stealth, but typically have very large contracts right.As we build, we are paving a path to what we hope will lead to a future with AI/automated investing.

Co-Founder & CEO

Mana

You will build the machine learning systems that power our general artificial intelligence for capital allocation. We are looking for researchers who want to discover elegant deep learning concepts and then put them into production as solutions to high-stakes, real-world problems.

Applied AI Researcher

Visa sponsorship available to exceptional candidates that don't have work rights in the US

Advex AI seeks mission-driven MTS in Machine Learning. Must-have: Python/PyTorch, generative computer vision, diffusion models, top-tier education (e.g., Stanford, MIT), startup savvy. Responsibilities: Lead diffusion/representation learning research, build core products, engage customers. Location: San Francisco, CA. Work type: On-site. Visa: Sponsorship available.

At Advex, we're working on solving the hardest problem in all of computer vision – data collection. In order to train a reliable AI model, you need access to the right training data. The inability to gather the right data has been the primary obstacle in global adoption of computer vision in mission critical industries like manufacturing and industrial automation.Our technology improves model performance by 20-30% for any computer vision task while simultaneously reducing production costs by 10x. Our customers include Fortune 500 companies and some of the fastest-growing startups in the world. We invite you to join us at the ground level as we embark on rapid expansion of our product offerings and customer base.

Advex AI

As an MTS within Machine Learning at Advex, you will play a pivotal role in shaping the company's technical direction. Your hands-on involvement will include:1) spearheading research in solving research problems around diffusion and representation learning2) build our core product and engage directly with our customers. As we expand, you will contribute heavily to the architectural roadmap, laying the foundation for the Advex platform. Your technical leadership will be instrumental in supporting and growing our engineering and product teams.

Founding ML Engineer

Note: we are a company founded by immigrants, and we are committed to providing support to immigrant workers throughout their journey. This includes offering assistance to international students and workers with various types of visas, such as OPT, H1, EB, and more.

In-office 5+ days a week in San Francisco

Axle seeks Applied AI Engineer: Must have deep LLM knowledge, full-stack dev skills, CS/AI/ML background. Build AI-driven fintech solutions, optimize models, handle financial data. NYC on-site, 5 days/week. Visa sponsorship available. Salary: $150K-$190K. No IBM/consulting backgrounds.

Axle is a NYC-based technology company enhancing productivity and efficiency in the capital markets. We enable investment banks to market and sell securities to institutional investors with greater accuracy and efficiency through automated workflows, collaborative client engagement, and AI-driven recommendation engines. Our mission is to expand access to and grow the public equity markets. We’re proudly backed by venture firms Eniac Ventures, Manresa Ventures, Power of N, and Atman Capital, as well as Wall Street executives from Citadel, JPMorgan, Goldman Sachs, Octahedron Capital, and more.

Axle

Axle is looking for an Applied AI Engineer who is ready to drive innovation across the platform. They will have a chance to shape the future of a fast-growing fintech startup at the intersection of financial markets, AI, and software engineering and drive change in the banking industry.We're looking for a strong full-stack engineer with expertise in web frameworks, backend development, and infrastructure to build AI-driven features leveraging large-scale financial and proprietary data, as well as cutting-edge technologies. If you're passionate about applying LLMs to real-world production use cases and driving innovation in financial markets, this role is foryou.This is an in-person role at our Flatiron office in NYC, five days a week.What You’ll Do<ul><li>Ship full-stack AI projects end to end.</li><li>Optimize models for investor targeting, recommendation systems, and predictive analytics.</li><li>Work with structured and unstructured financial and proprietary behavioral data.</li><li>Develop and improve engineering processes, tools, and systems to scale AI solutions across Axle.</li></ul>

Applied AI Engineer

Product Engineer in South SF, on-site. CS degree from top university. Experience with enterprise front-end web products, AI interfaces, TypeScript, React. Build design systems from scratch. Interest in biotech/pharma. Work closely with customers, shape product features. Visa sponsorship available. Salary: $110k-$200k.

Convoke is curating high-quality datasets, automating workflows, and building a software platform that empowers teams to make better development and commercialization decisions, faster.

Convoke

We’re looking for a product engineer to help design and create the most effective ways for biotech and pharma companies locate the data and documents they need.As a Product Engineer, you’ll be working with early customers to understand existing product gaps in the biotech and pharma space and designing core user-facing features for Convoke. You will be tasked with guiding design and product efforts and creating a component library to reuse throughout the application.

Senior Software Engineer in SF, on-site. Drive innovation in AI-powered customer support automation. Backend focus with Python, Java Spring; frontend with JavaScript, React. SQL (PostgreSQL), AWS proficiency. Startup experience, strong problem-solving, and ownership mentality crucial. Visa sponsorship available. Salary: $160K-$200K.

We are seeking a talented and experienced Senior Software Engineer who excels in backend development but is also proficient in writing frontend code. The ideal candidate is someone with strong startup experience, particularly at a company of a similar size (Seed stage, close to Series A), who is resourceful, an independent thinker, and has a passion for code quality, teamwork, and ownership. What We’re Going for on the Team:We are aligning our team around solving problems for our customers. Doing this means jointly identifying opportunities and problems to solve. Software engineers are here to take problems, find solutions, build them, and measure the results. There is definitely a lot of software building involved, but the important takeaway is that we’re all owners and problem solvers, not only coders. Software engineers doing this, aligned with Kodif values, is the way to be successful here.We are especially interested in engineers who excel in code design and are adept at creating well-structured, highly testable, and extensible systems that facilitate collaboration across the entire team. This typically involves proven experience with the SOLID principles of object-oriented design, along with a strong emphasis on unit and integration testing. As we are growing rapidly and moving quickly, maintaining clean codebases that everyone can understand and confidently extend is essential for our scalability and speed. We value engineers who not only write excellent code but also communicate effectively and contribute to a positive team dynamic.Key Responsibilities<ul><li>Drive innovation in our AI-powered customer support automation platform</li><li>Design, develop, and maintain scalable backend systems using Python and Java Spring and frontend systems using Javascript, React.</li><li>Ensure high code quality through code reviews, testing, and best practices.</li><li>Work closely with CTO, Head of Engineering and other stakeholders to understand requirements and deliver high-quality solutions.</li><li>Optimize application performance and scalability on AWS.</li><li>Implement and manage databases using Postgres and Redis.</li><li>Contribute to architectural decisions and technology choices.</li><li>Potentially serving as a technical mentor to other developers.</li></ul>

Senior Software Engineer

5 days a week from the office in San Francisco

**Location**: SF, **Work Type**: On-site, **Visa**: No sponsorship. **Technical Requirements**: Expert in Python, backend scaling (millions/day), GCP, AI tools (Cursor, Devin). **Core Responsibilities**: Design/maintain scalable backend for millions, collaborate on features/APIs, manage GCP infrastructure. **Salary**: $125K-$225K. **Environment**: Fast-paced startup, cash flow positive, 50% growth.

Simplify is building the AI-enabled infrastructure to power the next generation of hiring – reimagining how people discover and secure their next career opportunity. We believe that everyone deserves an all-star talent agent helping them plan, manage, and accomplish their career goals, no matter their background, location, or education.Through our flagship product, Copilot, we've helped over 1M+ job seekers discover and apply to over 100 million jobs - and we've done this with a tight-knit team of just 7 people. We're rapidly expanding on both the candidate and recruiter fronts, focused on our vision of building a common app and personal AI agent for your career.Backed by top-tier investors including Craft and YCombinator, we're a mission-driven team working to democratize the job search and disrupt the way hiring works today.

Simplify

MUST: Python, interest in startups, ability to scaffold projects independently, knowledge of AI tools (Devin, Cursor, etc.)Responsibilities<ul><li>Design, develop, and maintain scalable backend services to help us serve millions of users daily</li><li>Work closely with the product team to launch new features</li><li>Collaborate with frontend engineers to design and implement RESTful APIs and shared API client libraries</li><li>Architect and manage deployment of our cloud infrastructure on GCP</li><li>Ensure high performance, reliability, and security of backend systems</li></ul>

Founding Backend Engineer

Founding Backend Engineer
About Company
Simplify is building the AI-enabled infrastructure to power the next generation of hiring – starting by creating the best job search experience out there. Over the last 3 years, we’ve helped over 500,000 job seekers discover and apply to over 35 million jobs – with a team of just 7 people. We’re a tight-knit, mission driven team backed by the very best investors (Craft, YCombinator) on a mission to disrupt the way hiring works today. So… if you’re passionate about helping people and seeing your work directly impact hundreds of thousands of users – we’d love to have you join us! :)

Responsibilities
Design, develop, and maintain scalable backend services to help us serve millions of users daily
Work closely with the product team to launch new features
Collaborate with frontend engineers to design and implement RESTful APIs and shared API client libraries
Architect and manage deployment of our cloud infrastructure on GCP
Ensure high performance, reliability, and security of backend systems
Requirements
You consider yourself a Pythonista and stay at the forefront of Python tooling such as uv, ruff, mypy, etc.
You have equivalent project or work experience in scaffolding and scaling backend services in Python
You are knowledgeable in PostgreSQL systems and are familiar with tooling in the Postgres ecosystem, such as PGBouncer or PGVector
You are familiar with Public Cloud services, specifically GCP
You have a strong understanding with profiling and optimizing route performance
You have a sharp eye for developer tooling and are well versed in scripting
Experience with CI/CD pipelines and DevOps practices
Comfortability using bash/scripting as well as Docker and Redis
Desirable
Experience with microservices architecture
You have equivalent project or work experience in Generative AI projects and have a general understanding of agentic systems and frameworks
Contributions to open-source projects (we publish and maintain our own libraries)
Familiarity with machine learning frameworks and integration
You have experience with Node.js and Typescript
Simplify
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Cannot sponsor. Open to transferring for the right candidates but will not prioritize these higher

in-office 5+ days per week in SF. We're in Union Square/Fidi in SF!

Experienced Full-Stack Engineer with React, web apps, and CS degree from top US university. Build scalable systems, deploy at scale, and create robust backend. Work on-site in SF, no visa sponsorship. $150K-$350K salary. High autonomy, collaborate with technical founders on consumer AI platform. Startup hours, groundbreaking projects.

Chenyu Wen

At Weights, millions of people come to create almost anything with AI. We are actively looking for people to help us with this mission - come join a small team, in person in San Francisco, to build the best place to get inspired online.Our investors include Kleiner Perkins, Original Capital, Precursor Ventures, and Freestyle Ventures.

Weights

We're looking for an experienced individual contributor who enjoys working alongside other experienced engineers and designers to quickly build and iterate on&nbsp;a full stack application.<ul><li>Build the scalable systems.&nbsp;You'll build the infrastructure for Weights from the ground up, having a huge and direct impact by shipping your work to users on prod daily.</li><li>Use modern web tech and influence the stack.&nbsp;The frontend is&nbsp;React with Next.js and TRPC, the web backend&nbsp;Node/Express, and we use&nbsp;TypeScript&nbsp;across the full stack. Our ML pipelines are fully built in house - we use Python and Pytorch to serve our models to millions users.</li><li>Deploy at scale. Model training and inference are fully owned and controlled by us - we deploy the majority of our models in house, and have full control over them. We maintain multiple clusters across AWS, GCP, and Azure, encompassing hundreds of GPUs. As we build out our stack, you get to make critical choices and lay the foundations.</li><li>Self-direct your work and co-own the product.&nbsp;You're a technical founder type and will have autonomy and responsibility. You'll be involved in shaping the roadmap and owning product lines end-to-end.</li><li>Create a robust and scalable backend.&nbsp;Build&nbsp;PostgreSQL&nbsp;database models, performant REST APIs with&nbsp;Rediscache, 3rd party integrations, product analytics, transactional email, and service monitoring.</li><li>Build UI components.&nbsp;You'll implement basic UI based on&nbsp;Figma&nbsp;mocks and our design system. You'll collaborate with designers and frontend engineers on user-facing features powered by your backend code. We rapidly ship UI that has a native feel to it by polishing&nbsp;CSS, interaction states, and animations.</li><li>Solve interesting technical problems.&nbsp;Bring your full creativity to solve super-challenging technical problems: from complex backend architecture with 3rd party integrations, syncing app state, to real-time collaboration.</li></ul>

Senior Full-Stack Engineer (React/Typescript)

In-person in SF. Transportation to/from office covered.

Founding Engineer in SF's Design District. Hybrid: 4 days in-office. Visa sponsorship available. Must have Python expertise, managerial experience, startup intensity, top-tier engineering degree. Build AI integration tools, lead projects 0 to 1, collaborate with founders. Salary: $130k-$200k. Diverse company size experience required.

Rachel Chen

At Sol, we’re building a developer-first platform to transform how voice &amp; video AI will get implemented in enterprise. Our mission is to simplify AI implementation across enterprise communication tools— like VoIP, email, SMS, and meeting platforms — while enabling real-time, high-volume data processing that’s secure and compliant.We're integration-industry veterans and backed by one of the top AI &amp; infra investors. We want to redefine the integration building-blocks and power the next generation of AI-native software companies.

At Sol, we’re redefining how developers implement voice and video AI, making enterprise communication tools smarter, more scalable, and easier to integrate.As a founding engineer, you will:<ul><li>Build and own Sol’s ingestion platform, driving key architectural decisions.</li><li>Collaborate directly with customers to develop intuitive, impactful solutions to real-world challenges.</li><li>Experiment with multi-modal AI technologies to design scalable, real-time systems.</li><li>Establish Sol’s technical foundation with a focus on security, scalability, and developer experience.</li><li>Work closely with the founders to shape our engineering culture and practices as we scale.</li></ul>In this role, you will:<ul><li>Solve complex technical challenges at the intersection of AI and enterprise communication.</li><li>Lead projects from 0 to 1, contributing to both product innovation and team growth.</li><li>Be part of a founding team backed by leading AI and infrastructure investors, helping to build a platform that powers the next generation of AI-native software companies.</li></ul>

Founding Engineer

In-person 4 days a week in SF (Design District), otherwise remote. 

Staff Platform Engineer: Remote, no visa sponsorship. Key skills: game engine, WebSockets, APIs, distributed systems, Typescript (or quick learner), Python/Go. Must excel in technical leadership, communication, and have startup experience. Responsibilities: design/maintain scalable systems, mentor team, collaborate with leadership. Salary: $187,850 - $255,000.

In the last few years, remote and hybrid work has had an explosion in popularity, giving workers an unprecedented level of access to opportunity and an increase in quality of life. However, our existing tools were not set up to do remote work well. Work can be isolating, transactional, and void of the camaraderie that makes everyone feel like they’re in it together.To solve this, Gather builds virtual offices that bring the best of in-person work to remote. We’ve already seen success with our approach, with over 10,000 remote-first companies using our spaces every day.&nbsp;And yet it’s still the early days for our broader vision of the Metaverse. We’re excited about how the Metaverse can break down physical constraints that exist today, not just in where you can work, but which friends/family you can see, or what educational opportunities you can have access to.&nbsp;

Gather

Role overview:Our Platform team plays a crucial role in building the foundations that power Gather. Our product is rich and complex, with audio/video products like Zoom or Google Meet, work chats like Slack or Microsoft Teams, and a real-time virtual world similar to an MMORPG.&nbsp;As a Staff Platform Engineer, you help ensure our foundations and systems' performance, stability, and reliability. You design and create the building blocks our product developers rely on to ship quickly and reliably. You deeply understand a few domains, whether real-time distributed systems, computer graphics, rendering, or designing robust APIs and interfaces.&nbsp;Staff engineers at Gather are engineering leaders. You’ll lead projects and sometimes teams to successfully deliver. You set a high bar for quality and pace. You will tackle some of our hardest engineering problems and help mentor the rest of the team on how to hit a higher bar of excellence.Where you will make an impact:<ul><li>Design a game service to support thousands of concurrent users per virtual office</li><li>Identify and fix performance bottlenecks on any of our services or storage layers</li><li>Build client-side SDKs that define the way our application interfaces with our backend</li><li>Dive deep into debugging and fixing performance issues with customers&nbsp;</li><li>Define strategies for tuning, redefining, or creating from scratch pieces of our platform</li><li>Mentor engineers across our engineering team</li><li>Work closely with company leadership to shape large parts of the company’s strategy and direction</li></ul>

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