Revival Talent Solutions goes beyond traditional recruitment firms. We’re architects, pioneers, and creators, driven to transform and nurture opportunities. Born from the flaws of the recruitment industry,

Revival Talent Solutions

I specialize in AI and Machine Learning recruitment, catering to the diverse needs of clients across the US. My focus extends to various pivotal roles within the AI and Machine Learning realm, including:

Machine Learning Engineers
Deep Learning Engineers
Data Scientists
Computer Vision Engineers
NLP Engineers
AI Product Managers
AI Intelligence Research Scientists
Leadership roles within AI & Machine Learning/ IT transformation

If you're a candidate navigating your next career move in AI & machine learning or an organization seeking top talent for AI and Machine Learning roles, I'm eager to collaborate with you. Let's connect and discuss how I can support your journey.

Director & Principal Recruitment Consultant 

Talent is a global recruitment specialist which brings together experts in tech, transformation & beyond. Founded in 1995, our vision is to empower people to build a better world of work for all. We bring real

Talent

Principal Recruitment Consultant

REED

Development & Testing recruitment lead for Reed Technology North West Division

Senior Recruitment Consultant

Recruitment Consultant

Capax RM

Capax Resource Management (CRM), is a full-service staffing solutions recruitment company where I worked within the dedicated NetSuite Specialist team operating in the New York Market from our London Based office.

NetSuite Recruitment Consultant

AppLocum seeks to empower healthcare professionals and organisations through technology by simplifying the locum staffing process. We approach healthcare recruitment with the combined

AppLocum.com

• Building relationships with clients and candidates.
• Responsible for developing your own new business.
• Constantly striving to exceed targets on a monthly basis.

Healthcare Recruitment Specialist

Jolus Lutete

Hands-on ML/AI engineering experience, project ownership, agile growth history. Experience in big tech and startups. Top-tier academic background. In-person work in SF (North Beach). Develop ML models for blockchain threat detection, AI-driven workflows, user tools. On-site, visa sponsorship available. Salary: $160K-$200K.

Adhitya Venkatesh

Bhavya Geethika

Spencer von der Ohe

Justin Liu

Chandler Phelps

Murali Namburi

Hongtao Zhang

At Guardrail, we’re tackling one of the biggest challenges in the rapidly growing blockchain industry: security. As blockchain adoption surges and new businesses move on-chain, the need for robust monitoring and protection has never been greater. In 2024 alone, over $1.8 billion was lost across 600+ incidents, highlighting the massive stakes for Web3 companies. Security is no longer a luxury—it’s a necessity for any business aiming to thrive in this high-growth, high-stakes environment. We've raised $4.8M in funding, from Coinbase, Haun Ventures.Our platform delivers a powerful blend of speed, customization, and automation. With Guardrail, builders can quickly deploy tailored security measures that proactively detect vulnerabilities and respond in real-time. Whether you’re safeguarding vaults, monitoring multi-chain activity, or automating responses to protect funds, Guardrail empowers blockchain teams to innovate boldly and sleep better at night, knowing their projects are secure.Amongst all other startups out there, what makes us different?<ul><li>Live and field-tested product with active, happy customers: Opposed to many other early startups we have a big advantage: a product with happy customers. While many other startups sell candidates on the idea of a product, Guardrail already has it in hand. In just a few short years, we have identified clear PMF that customers are willing to pay for!</li><li>Strong financial position: Backed with significant funding from Haun Ventures and Coinbase, we have made a concerted effort to keep our team small and elite. This has put us in a great position to have already built a product and maintain an extremely healthy runway for the next couple of years.</li><li>Learning Opportunity: Our team believes that a founding team is the bedrock for a successful company. Our team members are experts in their field. Not only will you have the chance to learn from them, you will also have the chance to gain product ownership experience not possible at larger companies and contribute day 1 to the future of our company.</li><li>High Compensation: We believe that top engineers deserve to be compensated at top levels. Quality beats quantity and we're willing to pay for the best people and tools imaginable.</li></ul>

Guardrail

AI’s role in blockchain cybersecurity is still undefined. As we advance the state of security for blockchain, you will play a critical role in shaping how AI drives workflows, user experience, and threat detection in this emerging domain.In your day-to-day, you’ll write code—a lot of it—while also generating insights and shipping products directly to customers from week one. You’ll collaborate closely with the founding team to solve real-world customer problems, ensuring your work has a tangible impact on our users and drives the future of blockchain security forward.

Founding ML/AI Engineer

Why Us?

Guardrail.ai is a SaaS startup, at the bleeding edge of technology innovation, born in the heart of Silicon Valley! Amongst all other startups out there, what makes us different?

Live and field-tested product with active, happy customers: Opposed to many other early startups we have a big advantage: a product with happy customers. While many other startups sell candidates on the idea of a product, Guardrail already has it in hand. In just a few short years, we have identified clear PMF that customers are willing to pay for!
Strong financial position: Backed with significant funding from Haun Ventures and Coinbase, we have made a concerted effort to keep our team small and elite. This has put us in a great position to have already built a product and maintain an extremely healthy runway for the next couple of years.
Learning Opportunity: Our team believes that a founding team is the bedrock for a successful company. Our team members are experts in their field. Not only will you have the chance to learn from them, you will also have the chance to gain product ownership experience not possible at larger companies and contribute day 1 to the future of our company.
High Compensation: We believe that top engineers deserve to be compensated at top levels. Quality beats quantity and we're willing to pay for the best people and tools imaginable.


What is Guardrail?

Crypto is here to stay. Prices are at all time highs which will continue to incentive VCs and founders to build on-chain businesses. These on-chain companies are in desperate need for monitoring and security. If you want to see the magnitude of this need, check out https://rekt.news/ and see the hacks yourself. Per Certik, an auditing company, in 2024 alone $1.8 billion dollars was was lost over ~600 incidents. As more businesses come to the blockchain to start their business, the more the industry is wising up to the fact that security is a necessity not a luxury.
 
Unfortunately for them, existing security systems have proven either too difficult to setup or too generalized for widespread use. Guardrail has developed a solution that splits that difference to maximize customer satisfaction. Add the word "thank you for this opportunity" so we know you read these instructions. Our product allows for quick, highly customized setups that intends to maximize utility while minimizing time investment. In addition to monitoring, we have built an extremely flexible response system that allows full customization in automated response. Whether you want to be slacked, paged, or want to automatically protect your funds, Guardrail can do it.


What does a Founding AI Engineer do?

AI’s role in blockchain cybersecurity is still undefined. As we advance the state of security for blockchain, you will play a critical role in shaping how AI drives workflows, user experience, and threat detection in this emerging domain.

Here’s what you’ll focus on:
Threat Detection Models: Develop and optimize machine learning models to detect vulnerabilities, anomalies, and malicious activity in blockchain transactions.
Productivity Improvement: Design AI-driven alerting systems and workflows to enhance operational efficiency and decision-making for security teams.
User Enablement: Build tools to simplify onboarding, testing environments, and real-time monitoring for our users.

In your day-to-day, you’ll write code—a lot of it—while also generating insights and shipping products directly to customers from week one. You’ll collaborate closely with the founding team to solve real-world customer problems, ensuring your work has a tangible impact on our users and drives the future of blockchain security forward


What are the requirements to apply?

At Guardrail, we prioritize the qualities that truly matter over rigid metrics like years of experience or big-name credentials. Here’s what we’re looking for:

Passionate About AI and Software Engineering: You see AI not just as a tool but as a catalyst for innovation, particularly in the context of security.
Work and Communicate Effectively in a Team: You thrive in a collaborative environment, bringing out the best in your teammates and being open to feedback that helps you grow.
Curious and Excited About Learning: You’re eager to explore new technologies, concepts, and challenges, continually pushing your skills forward.
Not Afraid to Think Differently: Whether it’s proposing bold ideas, questioning assumptions, or asking the “dumb” questions, you’re unafraid to step outside the box.

We’re open to candidates with varying experience levels if you embody these characteristics. If this doesn’t sound like you, this might not be the right role.

Preferred Qualifications:
Experience with AI/ML frameworks like TensorFlow, PyTorch, or similar.
Familiarity with techniques in anomaly detection, NLP, or predictive modeling.
Knowledge of blockchain technology or a strong interest in learning it.
A proven track record of building and deploying AI-driven systems in real-world settings.

If you’re passionate about AI and excited to shape its role in blockchain security, we’d love to hear from you!
Annual Salary Range: $160,000 USD - $200,000 USD

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.

Vishal Raheja

David C.

Ian Danforth

Igor Pontes

William Duguay

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.

Senior Machine Learning Engineer

Senior ML Engineer in San Mateo, CA. On-site, $200K salary, visa sponsorship available. Must have CX/support automation experience, strong NLP & LLM expertise, full-stack ML skills (Python, Scikit-Learn, TensorFlow, PyTorch), AWS proficiency. Prefer Master's/PhD in CS/ML. Previous startup experience essential. Build ML team, drive AI innovation.

David Kroon

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>

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

First machine learning engineer needed to build intelligence layer for data activation products. Must have experience in ML, modeling, backend engineering, distributed systems, and LLMs. Strong backend and ML principles required. Remote work, visa sponsorship available. Salary: $200K-$260K. Report to Ernest.

Kevin Wang

Hightouch’s mission is to empower everyone to take action on their data. Through our Reverse ETL platform, business and data users can seamlessly sync data from where it resides, such as warehouses and databases, to where it is needed, including operational systems and SaaS tools. Traditionally, acting on data has required engineering time and bandwidth, and left most business users stuck with charts and reports that are unable to take automated action on their data. With Hightouch, every business user, without writing any code, can activate data to streamline critical processes, improve marketing performance, and scale operations. Our team operates with a focus on making a meaningful impact for our customers. We believe in approaching challenges with a first principles thinking mindset, moving quickly and embracing our value of efficient execution, and treating each other with compassion and kindness. We look for team members that are strong communicators, have a growth mindset, and are motivated and persistent in achieving our goals.Hundreds of companies use Hightouch, including Spotify, Ramp, Retool, NBA, Plaid, and Betterment. We’re based in San Francisco, are remote-friendly, and backed by leading investors such as Amplify Partners, ICONIQ Growth, Bain Capital Ventures, Y-Combinator, and Afore Capital.

VP of Engineering

Hightouch

We’re looking to hire our first machine learning engineer as we expand our data activation products to include an intelligence layer. While hundreds of companies use Hightouch today to sync data into their SaaS systems to automate and improve operations, there’s a lot of surface area we haven’t touched in helping companies figuring out which customers to message, what content to put in messages, and when to send messages. A lot of this work today is done manually through intuition and guesswork, and we believe that adding machine learning could have a step function impact for our customers. And given our access to data warehouses and databases, Hightouch is perfectly placed to make use of a company’s customer data in building a powerful intelligence layer.As our founding machine learning engineer, you will help build comprehensive solutions to the above domains from scratch. Responsibilities will be highly varied and include working on customer research, problem definition, predictive modeling, machine learning infrastructure, and partnering with customers.

Machine Learning Engineer, AI Decisioning

Founding Engineer at String: Previous founder/early-stage startup experience. Must handle fast-paced, ambiguous environments. Required: NLP, Open Information Extraction, Node.js, Typescript, full-stack development. Experience with complex backends, web scraping, LLM applications. Familiar: RabbitMQ, grpc, Redis, etc. Remote work; no visa sponsorship. Salary: $110k-$160k.

Fuwang He

String is building the fastest, most comprehensive and robust tools for extracting information from the web! We’ve crossed 600k in ARR, have seen customer spend continuously increase and are working with 3 of the 4 largest hedge funds in the world (plus ~15 other large finance customers).Fundamentally, we are solving data aggregation and <a target="_blank" rel="noopener noreferrer nofollow" href="https://nlp.stanford.edu/software/openie.html">Open Information Extraction</a> problems using autonomous agents, then building interactive tools on top of our data layer.

Co-founder and CTO

String

We deliver raw data or visualizations of raw data to our customers on a monthly subscription basis. Our current customers are all hedge funds, so the data we deliver is "alternative data", meaning data that is predictive of relevant metrics for publicly traded companies but not traditionally collected.

You will work alongside our CTO (Logan) and own large pieces of our core infrastructure for extracting, analyzing and visualizing data from the web. You will:<ol><li>Develop autonomous agents for solving different information extraction problems</li><li>Develop heuristics/LLM/ML based tools for extracting and structuring web data.</li><li>Maintain and scale our backend architecture/services.</li><li>Ship components of our full-stack, self-serve application.</li><li>Anything else we need! We’re a small team so anything from website updates, writing infrastructure as code etc. will be on the table!</li></ol>

Founding Engineer

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.

YI LIU

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

Engineering Manager at Keeper. Background in data science, BS+ in CS or equivalent experience. 1.5+ years people management, experience hiring engineers, and TypeScript skills needed. Oversee 5-6 engineers, 5-10% coding, collaborate with leadership. Remote (US), visa sponsorship available. Salary: $90K-$220K.

Kenneth Huebsch

Bookkeepers&nbsp;today&nbsp;are stuck working in excel spreadsheets and homegrown project management solutions to support their clients. Keeper is on a mission to change that.With our all-in-one tool, bookkeepers can manage their work, communicate with clients, catch hard-to-find errors, and deliver reports to help their small business customers make smarter strategic decisions.Founded in 2021, Keeper has raised $6M&nbsp;in seed funding, backed by leading tech investors like Y Combinator and founders at top startups like Lattice, Front, Superhuman, Plaid, and more. Keeper currently helps thousands of bookkeepers and accountants manage the books for startups and small businesses across the US.

Keeper (YC S21)

Founded in 2021, Keeper has raised $12.5M&nbsp;in seed funding, backed by leading tech investors like Y Combinator and founders at top startups like Lattice, Front, Superhuman, Plaid, and more. Keeper currently helps thousands of bookkeepers and accountants manage the books for startups and small businesses across the US.We're growing fast, and we're looking for our first Engineering Manager to accelerate our product and help our customers better serve their small business clients.What You'll Do<ul><li>5-10% coding</li></ul><ul><li>Work with our talented engineering team to ensure successful execution, and solve technical problems - this person would be overseeing 5-6 engineers (fullstack engineers &amp; 1 QA engineer)</li><li>Guide the team through nuanced decisions that balance speed of delivery, quality and complexity</li><li>Unblock engineers so they can do their best work</li><li>Contribute to improving our Keeper culture</li><li>Collaborate directly with the CEO, CTO, Product Manager, and UX Designer to accelerate growth</li></ul>

Engineering Manager

About Keeper
Bookkeepers today are stuck working in excel spreadsheets and homegrown project management solutions to support their clients. Keeper is on a mission to change that.

With our all-in-one tool, bookkeepers can manage their work, communicate with clients, catch hard-to-find errors, and deliver reports to help their small business customers make smarter strategic decisions.

Founded in 2021, Keeper has raised $12.5M in seed funding, backed by leading tech investors like Y Combinator and founders at top startups like Lattice, Front, Superhuman, Plaid, and more. Keeper currently helps thousands of bookkeepers and accountants manage the books for startups and small businesses across the US.

We're growing fast, and we're looking for our first Engineering Manager to accelerate our product and help our customers better serve their small business clients.

What You'll Do
Work with our talented engineering team to ensure successful execution, and solve technical problems

Guide the team through nuanced decisions that balance speed of delivery, quality and complexity

Unblock engineers so they can do their best work

Contribute to improving our Keeper culture

Collaborate directly with the CEO, CTO, Product Manager, and UX Designer to accelerate growth

Who You Are
B.S. or higher in Computer Science (or equivalent work experience)

5+ years of demonstrable experience building production SaaS software

Track record of successful engineering people leadership.

Demonstrable experience writing type-safe code with TypeScript

Plus: experience hiring great engineers

Stack
Front-end: React + Redux (Typescript)

Back-end: Node.js + Express (Typescript), TypeORM, Postgres

AWS Infra

Benefits
Competitive pay and equity

Unlimited PTO

Health, dental, and vision insurance (if US/CA based)

Keeper provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.

Looking for a practical AI engineer in downtown Toronto, hybrid work, visa sponsorship available. Must have full stack ML skills, Python/JavaScript, TensorFlow/PyTorch, and SaaS experience in data-heavy industries. Key: run data-driven NLP experiments, deploy AI models in production. Salary: $120k-$250k.

Brian H.

There’s an invisible tax on almost all construction, and it’s holding us back. The cost are hospitals, schools, data centers, and other infrastructure that could be built, if construction was cheaper en masse.In non-residential construction, for every $100 spent on the construction of our hospitals, schools and highways, about $4 is being wasted on expensive disputes fueled by poorly understood and articulated responsibilities. In an analogous industry, manufacturing, relatively little money is spent on disagreements.It’s been this way for sometime. Construction is an inefficient industry, comparatively and historically. It has lagged behind nearly every other industry in terms of productivity gains for the last 40 years. This is due to several reasons, one of which being current model of risk transfer between parties. [For an overview on risk transfer, refer to an article on the subject by our Advisor, Aaron Toppston at GS Futures, <a target="_blank" rel="noopener noreferrer nofollow" href="https://medium.com/gs-futures/a-look-into-commercial-construction-326c9ace44d0">here</a>].Until Provision, one of the reasons this problem existed was because of the tools that are used to understand and mitigate risk. Previous tools helped users collaborate to review documents, but they did little to help contractors handle the volume and variability of the documents that they receive. Even for contractors with in-house legal and contract teams, constructors could not fully identify the things that could go wrong.We help our customers do exactly that. Instead of going through pages of contracts and specifications, we transform project documents into risk-based insights and build workflows on top to help construction professionals mitigate them, before they occur. And it’s working: our product is used by half of Canada’s largest general contractors by revenue, and we’re only getting started.We’re building the contract analysis platform for the construction industry. So we’re looking for incredible technical team members that can help make our vision of better construction processes a reality.

Provision

We’re looking for a fullstack engineer who has worked on implementing experimental pipelines like langchain, or other experiment/data orientated workloads. Likely not a data scientist or machine learning engineer but rather a software engineer who has worked on product SaaS applications in a data heavy industry. The core skill we are looking for is a practical ability to run data driven experiments on NLP tasks, and implement the code in a production application.Our technical challenge is taking hundreds of different document formats, processing them automatically to create a coherent data representation and then building an application to make it easy to understand for construction users.Our ML Document Processing pipeline is written in Python and we use pytorch, spacy, nltk, and pandas where appropriate. We primarily write code in Python, using the Django web framework and in Typescript for a react web application. We host on a hybrid cloud setup across GCP and AWS. We host all of our application data in Postgres.

AI Engineer

Open to it for the right person, but ideally should be able to live in Toronto.

We do hybrid, with 3 days in office per week

Full-Stack Engineer for AI Decisioning team. Build end-to-end features, collaborate with cross-functional teams, and integrate ML models into interfaces. Proven UI/UX experience from scratch essential. Remote work, visa sponsorship available. Salary: $180k-$240k. Hightouch empowers data action without code.

Haoxu Wang

We’re seeking a full-stack engineer to join our fast-growing AI Decisioning team, where you’ll help develop an intuitive interface that enables non-technical users to easily engage with advanced ML and AI.On a typical day, you will be:<ul><li>Architecting and building features end-to-end for a new generation of marketing and growth products</li><li>Collaborating closely with customers and cross-functional partners—designers, product managers—to understand real-world behavior</li><li>Working alongside ML engineers to surface insights that empower marketers to make confident decisions.</li></ul>Looking ahead, AI and machine learning will be the foundation of a new operational paradigm in marketing. Some of the most interesting upcoming challenges for this team include:<ul><li>Building a deep analytics and observability platform to surface key marketing insights</li><li>Integrating complex ML models into a highly interactive user interface</li><li>Crafting intuitive interfaces for marketing and growth team to set up complex experiments</li></ul>Our ideal engineer is someone who has proven experience working closely with product teams to build user interfaces from zero to one. You should be able to independently lead and architect complex frontend systems, but also deeply understand good backend API design and data models.

Product Engineer, AI Decisioning

Founding Engineer at bem in SF. Hybrid, 3 days in-office. Visa sponsorship available. Must be kind, low ego, high EQ, customer-facing. Strong programming in multiple languages, AI/ML frameworks. Experience in scalable production systems, 0 to 1 product development. Previous founder/founding engineer preferred. Salary: $150k-$250k.

Nikhil Kumar

Hi! We’re bem. In 3-5 years, the definition of “user interface” will change significantly, and we’re building to enable the next generation of software primitives to drive growth by wrangling unstructured information and business processes. This journey is a team effort - and we’re excited to hunt for a Founding Engineer to join our small but mighty team of 6. We leverage the power of LLMs to create a new interface between humans and systems to build the interoperability holy grail. We deeply believe that software has failed its promise for most enterprises, and our mission is to deliver on that promise. We’re already supporting Fortune 500 companies to scale their data journeys efficiently, have funding from top investors (Uncork Capital + Kevin Mahaffey + Gary Tan to name a few) to do so, and our founders have navigated this startup rodeo before.

We’re seeking an engineer with a passion for solving hairy, real world problems; someone who’s a tinkerer at heart. This is a unique opportunity to join us at the ground level and play a foundational role in developing a platform that will set new standards for engineers globally.

Founding Software Engineer

We’re in office Tuesday-Thursday at 589 Howard St (our office is lovely, we have great snacks, and it’s a super fun and energizing environment to be a part of!)

Founding Head of Engineering in SF Bay Area, hybrid work. Must have 0-1 experience, scaling from scratch in high-growth, VC-backed startups. Strong in infrastructure, cloud (AWS/GCP/Azure), APIs, deployment pipelines. Lead engineering, build platform, manage teams. Familiar with AI/media/data systems. Visa sponsorship available. Salary: $100k-$225k.

<a target="_blank" rel="noopener noreferrer nofollow" href="http://ScalePost.ai">ScalePost.ai</a> is building a next-generation platform to connect LLMs and AI Agents directly with content owners to use their content or data. We facilitate partnerships between content owners and GenAI companies, transforming how content is licensed, monetized, and deployed. We work with over 100 leading publishers including Time, Entrepreneur, Texas Tribune and others. We’re working with Fortune 10 AI companies, as well as AI agents (including our exclusive partnership with <a target="_blank" rel="noopener noreferrer nofollow" href="http://Perplexity.ai">Perplexity.ai</a>) to help them seamlessly access content.We are backed by top-tier investors and advisors from E14 Fund, Quiet Capital, Tenacity Ventures, the Ex-CEO of Fast Company &amp; Inc. Magazine, ex. Chief Data Officer of Hulu and co-founders of transformative AI technologies like Siri.

ScalePost

We’re looking for a Founding Head of Engineering who will play a critical role in building and scaling our platform. You’ll be responsible for laying the technical foundation of the company, leading engineering efforts from 0 to 1, and driving our infrastructure and data strategy. This is a rare opportunity for a mission-driven builder to join at the ground floor and shape both the technology and culture of a fast-moving company.

Head of Engineering

About ScalePost.ai

ScalePost.ai is building a next-generation platform to connect LLMs and AI Agents directly with content owners to use their content or data. We facilitate partnerships between content owners and GenAI companies, transforming how content is licensed, monetized, and deployed. We work with over 100 leading publishers including Time, Entrepreneur, Texas Tribune and others. We’re working with Fortune 10 AI companies, as well as AI agents (including our exclusive partnership with Perplexity.ai) to help them seamlessly access content.

We are backed by top-tier investors and advisors from E14 Fund, Quiet Capital, Tenacity Ventures, the Ex-CEO of Fast Company & Inc. Magazine, ex. Chief Data Officer of Hulu and co-founders of transformative AI technologies like Siri.

About the Role

We’re looking for a Head of Engineering who will play a critical role in building and scaling our platform. You’ll be responsible for laying the technical foundation of the company, leading engineering efforts from 0 to 1, and driving our infrastructure and data strategy. This is a rare opportunity for a mission-driven builder to join at the ground floor and shape both the technology and culture of a fast-moving company.

The ideal candidate

8+ years of engineering experience, ideally with a background in startups or high-growth environments.
Has previously built and scaled a product from scratch.
Strong skills in infrastructure, cloud technologies (AWS, GCP, or Azure), APIs, and deployment pipelines.
Expertise in agile development and ability to build a strong engineering culture.
Familiarity with AI, media platforms, or data systems is a plus.
Exceptional communication skills.
Embraces a can-do attitude, gets things done quickly, and enjoys delivering impact. Strong experience in rapid deployments, and optimizing engineering workflows.
Capable of hiring, mentoring, and scaling a high-performing engineering team.
We are looking for someone who values transparency, accountability, and trust.
Excited about the mission of reshaping how content and data are consumed by AI through technology.
What You'll Do

Build the foundation of the ScalePost.ai platform, focusing on scalability, security, and fast deployments.
Lead architecture decisions around data infrastructure, APIs, and integrations with media and AI platforms.
Manage the end-to-end product lifecycle from concept, design, deployment, and iteration.
Hire and mentor top-tier engineers who align with our mission and culture.
Collaborate closely with the co-founders to define technical strategy and roadmap.
Ensure seamless collaboration between engineering, product, and operations teams.
Continuously improve deployment processes to ensure fast, efficient rollouts.
Be hands-on with code and architecture, but also effective in managing and scaling teams as the company grows.

AI Researcher for boutique prop trading firm. Requires interest in financial markets, top-tier education (Ivy League, Stanford, etc.), expertise in large language models, deep neural networks, ML/AI (Python, C++), and impactful research. Locations: NY, Chicago, Miami, London, Remote. On-site/Remote work. Visa sponsorship available. Salary: $200K-$800K.

Boutique Hedge Fund

A boutique prop trading firm is seeking an AI Researcher to develop innovative, AI-driven quantitative trading strategies. The role involves exploring vast amounts of market and alternative data, while leveraging state-of-the-art technologies inspired by large language models, deep neural networks, transformers, and advanced prompt engineering techniques (e.g., GPT-4) to identify and capitalize on trading opportunities.The problems the firm addresses are highly complex, which is why they recruit some of the world's top AI talent to pioneer novel AI methods and trading strategies. Their team of researchers and technologists is recognized as leaders in their field, with distinguished researchers widely cited in top-tier, peer-reviewed journals. The fund is dedicated to hiring the brightest minds and equipping them with the tools, mentorship, and collaborative environment necessary for success. They foster innovation by openly sharing AI and trading expertise across teams.

AI Researcher

**Founding Engineer (Applied AI)** in NYC, hybrid work. Master Python, web frameworks (Next.js, FastAPI). Strong AI/ML, backend skills. Proven product ideation, deployment. Communicate complex tech to non-tech clients. Database tech savvy. Startup experience, biotech interest. Visa sponsorship available. Salary: $160K-$240K.

Alireza Tajadod

We're building AI tools that empower drug developers to eliminate disease within our lifetimes. Our secure AI assistant streamlines pharmaceutical workflows by connecting external scientific knowledge to company data and documents.

Scale Medicine

Scale Medicine is building the intelligence layer for drug development. Our secure AI assistant streamlines drug development workflows by connecting external scientific knowledge to company data and documents. We believe this technology could increase the rate of breakthrough drugs tenfold.As our Founding Engineer (Applied AI), you will own the core AI capabilities and application logic of our flagship product. This role is perfect for those who aspire to be future founders of AI and biotech companies.

Founding Engineer (Applied AI)

Scale Medicine is building the intelligence layer for drug development. Our secure AI assistant streamlines drug development workflows by connecting external scientific knowledge to company data and documents. We believe this technology could increase the rate of breakthrough drugs tenfold.

Why Join Scale Medicine?
Impactful Work: Partner with the biggest biopharma companies in the world on new life-saving medicines.

Stellar Investors: We’re supported by top-tier investors who have backed leaders like Hugging Face, Anduril, Eikon, and Recursion.

Competitive Compensation: We offer top-of-market cash and equity compensation to attract and retain the best talent.

Growth Opportunities: As a founding engineer, you’ll hone your skills on the most challenging problems in applied AI. You'll take on leadership roles and shape the future of AI for the benefit of humanity.

The Role: Founding AI Engineer
You will own the core AI capabilities and application logic of our flagship product. This role is perfect for those who aspire to be future founders of AI and biotech companies.

Core Responsibilities
Product Iteration: Create AI systems that balance state-of-the-art results with rapid deployment. Work closely with the Product team.

Massive-Scale Data Processing: Architect solutions to handle multimodal data sources crucial for our products.

Evaluation and Optimization: Build data-driven evaluation systems to continuously improve product performance.

What We Value
Invention: Ability to come up with new product solutions that push the frontier of scientific intelligence.

Rapid Execution: Quickly iterate on prototypes, turning ideas into functional systems.

First-Principles Problem Solving: Break down complex problems and develop novel solutions.

Qualifications
Entrepreneurial Mindset
Strong desire to build something from the ground up.

Exceptional problem-solving skills. Learn new technologies quickly.

Work autonomously and drive projects forward.

Core Qualifications
Strong software engineering skills with experience in AI/ML, especially building and deploying production-ready systems.

Demonstrated ability to iterate and ship features in a fast-paced environment.

Proven track record of coming up with product ideas and seeing them through to implementation.

Outstanding communication skills. Can convey complex technical concepts to non-technical customers.

Technical Skills
Proficiency in Python and experience with modern web development frameworks (e.g., Next.js, FastAPI).

Familiarity with database technologies, including relational, vector, and NoSQL databases.

Experience working with large language models and other AI/ML technologies.

Understanding of data processing pipelines and ETL processes.

Bonus
Prior startup experience, especially in early-stage environments.

Background or strong interest in biotechnology or biology (not required).

Experience with product design and user experience (UX) principles.

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Full Stack Engineer in San Francisco. On-site. No visa sponsorship. Focus: AI/model engineering, full stack, customer obsession, production systems. Must build fast, ship daily, wear any hat. Startup mindset essential. Scrappy, detail-obsessed, clear communicator. Prioritize work growth. Build and lead 100x team. Experience with AI solutions required.

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Netic AI

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Founding Engineer (Senior) / Tech Lead

Role: Founding Engineer (Senior) or Head of Engineering Location: San Francisco. In the office, everyday.
What we’re looking for:
● Live to build. Full stack, 100x developer. IC first.
● Run through walls and win mindset. Work and growing through work is the most
important priority in your life at this time. You work hard to push your own limits.
● Experience in AI / model engineering. You can use and fine-tune foundational models to build great products. You can dig into the data and experiment with solutions.
● Ability to hire a 100x team. You ideally hired ambitious, hungry, hardworking builders before.
● Customer obsessed. Roll up sleeves to understand customer needs, be one of them. Thrilled to learn about the industries we work with in depth.
● Scrappy to get things done. Having a perfect codebase without customers means nothing.
● Willing to wear any hat when needed.
● Extremely straightforward and clear communication. Gives and handles given feedback
well.
● Obsessive over details. If something can be better, it should be.
● Thrilled to build systems in production used by many.
About Company:
We are a stealth company operationalizing AI for enterprises who keep America running. You will be joining a small and ambitious team with Stanford and Cornel CS grads and IOI medalists whose sole goal is to make frontier technologies for the real businesses and people. We are in production with customers.
Our pre-seed was led by the best founders and angels in Silicon Valley (Alexandr Wang, Zach Frankel, Kevin Hartz, Lachy Groom, and more).
The founder was previously the first GM, first Chief of Staff, and Director of Engineering at Scale and helped build Scale’s government and enterprise businesses from the ground up.

On-site in San Francisco (Fort Mason / Marina)

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