Catalyzing the era of pervasive intelligence, Synopsys delivers trusted and comprehensive silicon to systems design solutions, from electronic design automation to silicon IP and system verification and

Robinhood 

Senior Technical Recruiter

Paraform is a marketplace connecting companies with open roles and recruiters who can fill them.

Companies can work with specialized recruiters more cheaply, monitor their performance, and flex based on demand. Recruiters don't have to worry about acquiring clients while earning and working on their own terms.

Incredible teams at the most exciting startups and enterprises are being built as a result.

Paraform

Helping Early-Stage Founders build core teams. Placements that will impact the future of tech!

Niche placements with Stealth & Series A groups; Research Scientist/Engineers, Sr. Software Engineers & Founding roles

Lead Technical Recruiter

Fizz is a private and authenticated platform designed to revolutionize the social fabric of communities, starting with colleges. After verifying a university email address, students use Fizz to post questions,

Fizz 

Series-A social media platform built to facilitate hyper-local authentic communities. Partnered with Co-Founders to place Sr. MLE & Sr. SWE roles, and build pipeline for Founding Product Designer as company raised Series-B round.

Technical Recruiter

We provide the wealth management products crypto investors need, all powered by blockchain technology. Currently, we service clients worldwide and in all U.S. states, with USD loans backed by crypto,

BlockFi

**Position effected by company Bankruptcy**
Full cycle hiring for Engineering, Product, and Security roles.
BlockFi provides the wealth management products crypto investors need, all powered by blockchain technology!
Placements: Lead Mobile Engineer, Principal/Staff Backend Engineer, Sr. Blockchain Engineer, Sr. Product Design, Security Analyst
-87% close rate on all offers, 30 calendar days average Time-to-Fill

TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
 
Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.

TikTok

Built out the Core TikTok Engineering & Monetization Technology teams - Successful placements included focus in Backend, Machine Learning, Full-Stack & Mobile roles.

Niche role; Director of Engineering. Focus to build a new team concentrated around Global & Local compliance & regulation initiatives(GDPR, CCPA, etc.). 

Averaged 5+ offers per month across EM's, TLM's, Staff, & Senior roles.

Talent Acquisition

Carlos Martinez

Yang Wu

Weiyang Zhao

Eric Hans Lee

Vahe Tshitoyan

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.

co-founder & CEO

Machine Learning Engineer

Visa sponsorship available (limited to exceptional candidates)

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

Lichi L.

Xingtong Liu, Ph.D.

Aditi Sharma

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.

Software Engineer, Machine Learning

URL:https://boards.greenhouse.io/hightouch/jobs/5155115004
Apply Now
Software Engineer, Machine Learning
(View all jobs)
Remote (North America)
About Hightouch

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, Grammarly, 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.

About the Role

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.

Some of the problems we’ll be working on include:

Personalization and Product Recommendation: There are often many options for what content a company could message a user with, including which products to show from catalogues. Given this large state space, how can Hightouch help personalize messages with the most relevant content for each user?
Automated Experimentation: Helping companies intelligently navigate and automate experiments across the extensive number of options for messaging customers.
Predictive Audiences: Building models to predict which users are most likely to convert, churn, or take desired actions.
Content Generation: Particularly with recent advances in LLMs, how can we help marketers generate text, images, and creatives that are compelling to their customers?
Budget Optimization: Helping companies assess which marketing spend is driving the most incremental conversions, and where the marginal CAC is lowest.

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.

We are looking for talented, intellectually curious, and motivated individuals who are interested in tackling the problems above. This is a senior role, but we focus on impact and potential for growth more than years of experience. The salary range for this position is $200,000 - $250,000 USD per year, which is location independent in accordance with our remote-first policy.

Interview Process

Our interview process focuses on evaluating fit for the most important dimensions of the role: product sense, ability to architect backend and distributed systems, and alignment with Hightouch’s values. Notably, we don’t do any programming interviews as we believe they are low signal to noise and aren’t a good evaluation mechanism.

Intro Call [15-30m]: Introductory call with either a member of our recruiting team or the hiring manager to get to know each other and see if the role could be a good mutual fit.
Machine Learning Modeling Interview [90m]: Designing a predictive model end-to-end, including data collection and preparation, model training and evaluation, and what systems would be needed to run the model in production.
System Design Interview [90m]: Work with the interviewer to architect a system at a conceptual level. The problem will be at a pretty high level - and have both product and customer requirements as well as technical.
Hiring Manager Interview [30m]: Chat with hiring manager about past experiences and future operating preferences to assess fit on company values and operating principles.
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Isabelle Davis

Elisabete Trindade Pedrosa

James Jerden

Problem: Globally, soils have the potential to sequester over 1 billion tons of carbon through regenerative agriculture practices and emerging solutions like biochar and enhanced rock weathering. However today, measurement, reporting, and verification of soil carbon sequestration is not cost effective, accurate, or scalable. This prevents large-scale climate finance from being deployed to rapidly scale soil carbon improvement despite its massive potential to combat climate change, improve food security, and alleviate extreme poverty. 

Terradot is building a global measurement, reporting, and verification (MRV) platform to accelerate high-integrity carbon removal and storage around the world. With Stanford’s Soil and Environmental Biogeochemistry Lab, we leverage technological innovation using ground truth sampling, remote sensing, and AI modeling to accurately and scalably measure soil carbon. For soil carbon project developers, Terradot decreases the time, cost, and complexity of MRV while increasing the integrity of the carbon removal credits for carbon buyers. This enables large-scale deployment of climate finance to incentivize the adoption of sustainable practices. We are focused on improving soil health in emerging economies to maximize global sequestration and community impact.

We are a public-benefit corporation driven by passion and purpose in service to our planet, people, and prosperity. Terradot is backed by world-class investors including Floodgate, John Doerr, Kleiner Perkins, Sheryl Sandberg, Ponderosa Ventures, 776 Foundation (Alexis Ohanian), George Roberts, and Stanford’s TomKat Center for Sustainable Energy. We are advised by an all-star team of Stanford climate professors with 100,000+ citations collectively.  

Co-founder

Terradot

A global measurement, reporting, and verification (MRV) platform to accelerate high-integrity carbon removal and storage around the world. With Stanford’s Soil and Environmental Biogeochemistry Lab, we leverage technological innovation using ground truth sampling, remote sensing, and AI modeling to accurately and scalably measure soil carbon

We are seeking a Lead Research Scientist to be a part of our team to make meaningful and purpose driven outcomes in the space of MRV using enhanced rock weathering. This is an opportunity to work and be supported by a team who all share a desire to change the world for future generations using regenerative Ag, soil amendments, and technology. 

The lead research scientist will play a critical role catalyzing the precise measurement of enhanced rock weathering on global croplands. The primary goal is to investigate and model the potential of ERW to remove a gigaton of CO2 equivalent (CO2e) from the atmosphere in areas with the greatest potential of interest. This is a chance to lead and support a team to illustrate that together we can contribute to the future of wise land stewardship and climate mitigation; ensuring a thriving and healthy planet for all.

CEO & co-founder

Lead Research Scientist - Enhanced Rock Weathering

We're willing to sponsor visa for the right candidate!

 In Person/Flexible/Remote (with travel to key project regions)

Pedro de Almeida Mutter

Samuel Henrique Ferreira

Truewind is AI-powered Bookkeeping and Financial Modeling for Startups. Through a combination of artificial intelligence and concierge service, we deliver a delightful financial back office experience to fast-growing companies. Reliable bookkeeping, detailed financial models, built exclusively for startups. We are a San Francisco-based startup backed by Y Combinator.

Truewind (YC W23)

We're in search of a Lead or Staff Engineer who excels in coding and has managerial experience. The ideal candidate should effortlessly alternate between English and Portuguese.&#x20;


This role will report to the CTO.

Truewind is a technology company based in San Francisco developing a next generation AI-powered accounting platform. Adhering to the highest standards of data security, Truewind’s close management platform automates routine tasks and finishes your monthly close with time to spare.  Join our team as we embark on a groundbreaking journey through [our strategic partnership with Thomson Reuters](https://www.axios.com/pro/fintech-deals/2024/01/19/thomson-reuters-accounting-ai-truewind), focusing on developing innovative AI applications for the CFO office. Our first partnership is with Thomson Reuters in Brazil. Thomson Reuters has a product in its portfolio called Dominio Sistemas, it's the equivalent of Quickbooks in Brazil. We are exploring an API solution where Truewind will power the AI/LLM functionality within Dominio Sistemas.

Senior Engineer, Brazil

Hanjun Dai

Andrea Madotto

We have previously founded companies in the AI and electronics industry and have scaled them internationally. We've had the privilege of working at with renowned AI and hardware institutions like Cerebras, NASA, Stanford SAIL, Google, and Apple. The company is backed by top tier VC and angel investors.

Voltai

We're looking for a Founding AI Engineer, who will develop and improve our AI systems. You will be working on:

● Fine-tuning large language models
● Developing model evals
● Developing and implementing novel search, retrieval and QA algorithms
● Developing and evaluating large systems of interconnected LLMs
● Dealing with hard engineering constraints like latency and expensive model inference

Co-founder & CEO

Founding AI Engineer

We’re open to hybrid or remote work for this role but strong preference to in-person. Nowadays, you can find us working in the Stanford libraries or enjoying meals at the campus cafes and dining halls. We've traded the confines of cramped office cubicles for the vibrant and energetic spaces of Stanford, surrounded by young energy, new faces, and delicious food. We would love to share this experience with them in person

Thomas Verdone

Rafael Olaechea

Whalesync makes data syncing easy. Our automation platform syncs data between key business tools like HubSpot and Airtable. We give developers and ops teams two-way, real-time sync, so they can build production-ready workflows. This makes it easy to manage things like customer data, marketing campaigns, and blog content spread across their SaaS applications without needing to hire software engineers and build a data pipeline

Whalesync

Whalesync is a no-code data automation platform that lets you sync data across key business tools like Airtable and HubSpot.

Real-time, bi-directional data syncing across an infinite number of tools is a hard technical problem. Offering this in a way that’s simple and accessible is an equally hard design problem.

We’re looking for someone who is excited by this challenge and the potential impact we can make if we do this right. You’re a product-minded engineer who thrives in a highly autonomous environment. Shipping fast and building awesome things brings you joy.



Full-Stack Software Engineer

We are unable to provide visa sponsorship at this time

Workday must overlap by at least 5 hours with San Francisco, CA, USA

Aravinth Chandramouli

MissionOrb is on an ambitious mission to provide every business with the infrastructure to unlock their revenue. Best-in class businesses find ways to effectively align their monetization to product usage—whether that's through seats, consumption, feature limits, or usage-based tiers. Orb brings that opportunity to every software company.We are reimagining billing and invoicing for this era of hybrid pricing in software. Billing is no longer just a finance problem, but also a high-stakes engineering observability problem that customers urgently need solved. At Orb, we take a developer-first, data infrastructure approach to this problem. We make it possible for companies to fully automate their current billing process, and to evolve their monetization strategy over time.Orb supports the end-to-end workflow for revenue: developers love our product’s extensibility and intuitive API, product managers become empowered to iterate on pricing and packaging much faster, finance teams get fine-grained reporting to facilitate revenue recognition, and customer-facing teams benefit from the transparency Orb brings to the customer relationship.

As an early engineer at Orb, you’ll help to build the technical foundations of a critical product that needs to be reliable and accurate at scale. You’ll work closely with our customers to understand pain points in their business processes, and help incorporate those insights into our product roadmap.&nbsp;

Software Engineer, Full Stack

Kristin Wilson (Tinsley)

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)

WHAT YOU'LL DOYour job is to drive more bookkeepers to book demos with AEs and start self-service trials.You'll have a marketing budget, and you'll experiment with different channels like:<ul><li>Email marketing / cold outbound</li><li>Influencers / affiliates / referrals</li><li>Content marketing</li><li>Trade shows</li><li>Webinars</li><li>Newsletter / podcast sponsorships</li><li>Paid ads (Facebook, Google, LinkedIn)</li></ul>Plus others we haven't thought of.

Head of Marketing

Alice Poteat

Hex is changing the way people work with data. Our platform makes analytics workflows more powerful, collaborative, and shareable. Hex solves key pain points with today's data and analytics tooling, and is loved by thousands of users all over the world for the beautiful UI, new superpowers, and boundless flexibility.

With over $100M in funding, backed by investors like a16z and Sequoia Capital, Hex is changing how people use data by building a collaborative, shareable analytics workspace.We're looking for a frontend-leaning Fullstack Engineer eager to take over large swaths of our greenfield product roadmap. This is an evergreen role, as we need some great Fullstack talent to support our technology as we grow. As one of our early senior hires, this person will partner closely with our founders on the direction of our product and drive business-critical technical decisions.

This is a frontend-leaning, product-facing role. 

Fullstack Engineer

URL:https://hex.tech/careers/fullstack-engineer/
🙋‍♀️
We're hiring: come build with us
🌻
Hex Spring Release May 29th, mark your calendars
❄️
Come see us at Snowflake Summit
✅
Introducing Reviews: a better way to work together on data projects
🪄
Data is better with a little magic: New updates to Hex’s AI tools for data analysis
🙋‍♀️
We're hiring: come build with us
🌻
Hex Spring Release May 29th, mark your calendars
❄️
Come see us at Snowflake Summit
✅
Introducing Reviews: a better way to work together on data projects
🪄
Data is better with a little magic: New updates to Hex’s AI tools for data analysis
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OPEN ROLE
Fullstack Engineer
SF or NYC
About Hex

Hex is changing the way people work with data. Our platform makes analytics workflows more powerful, collaborative, and shareable. Hex solves key pain points with today's data and analytics tooling, and is loved by thousands of users all over the world for the beautiful UI, new superpowers, and boundless flexibility.

We are a tight-knit crew of engineers, designers, and data aficionados. Our roadmap is full of big ideas and little details, and we would love your help bringing them to life.

Hex has raised over $100m from great VCs and angels, giving us many years of runway and the ability to pay competitive salaries, offer great benefits, and provide meaningful equity.

Watch a demo of Hex on our homepage, read more on our blog, or check out our handbook for a better sense of what it's like to work here.

About the role

We are looking for a senior frontend-leaning fullstack engineer eager to take over large swaths of our greenfield product roadmap. As one of our early senior hires, you will partner closely with our founders on the direction of our product and drive business-critical technical decisions. You will also ship major product initiatives that fundamentally change the way that Data Scientists and Analysts operate, and have ample technical and team leadership opportunities, depending on your interests.

We aim to deliver an intuitive, delightful experience that is as empowering as it is pleasing to the eye and we have plenty of challenges at all levels of the stack. Some interesting challenges you could work on include:

Designing and building collaborative multiplayer editing of notebooks and applications, including conflict resolution and commenting systems.
Scaling rich, interactive, customizable components to provide a performant, pleasant experience from ten to a hundred or more notebook cells.
Representing complex concepts (e.g. caching, kernel execution state) in a digestible UX that is understandable for users from a variety of backgrounds.
Making chart building delightful whether there are ten data points or a million.
We'd love to hear from you if you have
At least 4+ years of software engineering experience.
Experience leading and executing on major product initiatives.
Excitement for getting your hands dirty and diving deep into how the browser works to develop high-quality and performant user experiences.
An aptitude for how web infrastructure works to develop high-quality internal developer and external user experiences.
An instinct for strategic thinking and aligning with business and product goals while keeping a healthy balance of velocity and engineering excellence.
Interest in the data space, and a love of shipping great products and building tools that empower end users to do more.
Experience maintaining a high quality bar for design, correctness, and testing.
An ability to lead product initiatives while collaborating and mentoring fellow engineers.
Curiosity and an interest in diving into the bigger picture of building a company, including go-to-market, customer development, people, and marketing.

This role will be hybrid (1-2 days per week in office) based out of one of our hub locations, currently in San Francisco and NYC.

Kristin Brown

Sauron protects your family and home, bringing the innovations of autonomous robots and self-driving cars to residential security. Our team is led by veteran entrepreneurs and roboticists, alumni of Zipline, Tesla, and The Boring Company. Sauron has raised an $18M seed round led by A* and Atomic with participation from other leading venture capital firms and angel investors, including 8VC and Flock Safety CEO Garret Langley.&nbsp;

Sauron

Sauron leverages state-of-the-art technology to build new perception systems for the home.



Our Head of Operations will own our inhouse installation and monitoring for Sauron. You will build and lead a team of skilled installers and monitoring personnel while managing end-to-end installation projects with an emphasis on sophistication and minimal intrusion.

Head of Operations

Debt Collectors play an overlooked yet integral part of our financial ecosystem. They help Consumers settle their debts and improve their credit scores— granting them clean states to start over. Collectors help critical businesses like doctor's offices and local governments, who deal with high payment default risk, secure their revenue streams and ensure their continued survival.

In truth, Collectors have incredibly interesting, multi-faceted jobs. They are often one part sales person, one part therapist, and one part detective in their mission to recover funds. At Aktos, we are building a modern software platform that caters to Collectors' unique workflows, and make the credit recovery process a more positive experience for all parties.

CTO & Co-Founder

Aktos

The Aktos product is a system of record, and core workflow software, for debt collection agencies. It is structured like a CRM, but it keeps track of delinquent accounts a collection agency is working instead of sales leads. There is a heavy fintech component as well, as we do multiple payment processor integrations.

The Founding Senior Full Stack Engineer at Aktos is a pivotal role aimed at building the Operating System for the $18B Credit Collections industry. This position is designed for an engineer with a lean towards Backend development (70/30), who is comfortable working across the entire tech stack. The role involves collaborating with the CEO, CTO, and other engineers to develop full-stack features and improvements, refine the SDLC &amp; CI/CD pipelines, and maintain the AWS infrastructure. This position is for those who are comfortable with autonomy, ownership, and have a strong work ethic, with a passion for delivering high-quality code and making sound UX decisions. The engineer will play a key role in creating a modern software platform that enhances the credit recovery process, helping Consumers, doctor's offices, and local governments. The role requires 5+ years of Software Development experience, in-depth knowledge of Python, Django, JavaScript (React/Redux preferred), and hands-on experience with AWS.

We are one of those rare seed stage startups that have found Product Market Fit. We are a remote-first company.

Remote - Founding Full Stack Engineer (Backend Leaning)

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Founding Senior Full Stack Engineer - Remote (US)
at Aktos (View all jobs)
Remote
Company Mission

Aktos is a seed-stage, Vertical SaaS Fintech startup looking for a Founding Full Stack Engineer (70/30 Backend leaning) who will play a key role in building the Operating System that powers the $18B Credit Collections industry. 

Credit Collectors play an overlooked yet integral part of our financial ecosystem. They help Consumers settle their debts and improve their credit scores— granting them clean states to start over. Collectors help critical businesses like doctor's offices and local governments, who deal with high payment default risk, secure their revenue streams and ensure their continued survival.

In truth, Collectors have incredibly interesting, multi-faceted jobs. They are often one part sales person, one part therapist, and one part detective in their mission to recover funds. At Aktos, we are building a modern software platform that caters to Collectors' unique workflows, and make the credit recovery process a more positive experience for all parties.

Our Team

Aktos was founded by seasoned Product and Engineering leaders who have worked at companies such as Zenefits, TikTok, Meta, LinkedIn, Google, Apple, Amazon, WeWork, Flatiron Health (acquired by Booking.com). We are experts at building, launching, and scaling word-class software platforms— rest assured, if you join us you will be working with and learning from the best.

Our Stack:

Frontend - ReactJS, Redux, RTK Query
Backend - Django, DRF, Postgres
DevOps - Docker, Github Actions, Terraform, AWS, Postgres
Responsibilities

Work directly with our CEO, CTO, and a handful of other engineers to build full stack features and improvements to the product
Work across the entire stack using cutting edge frameworks, tools, and own execution
Take true end-to-end ownership of your work and lead key components of our product roadmap
Refine the SDLC & CI/CD pipelines
Maintaining our AWS infrastructure
Who You Are

Comfortable with autonomy, ownership and responsibility
You care more about getting it right, than being right. Love learning, asking questions and are comfortable asking for help when you get stuck
Jack-of-all trades; Expert in one - You can do anything from optimizing SQL query to writing maintainable CSS and everything in between, but you still have a preferred part of the stack
Requirements

5+ Years of Software Development Experience
Professional experience with Python (5+ years required)
Professional experience with Django (3+ years required)
Professional experience with JavaScript [React/Redux experience preferred]
Strong fundamental understanding and usage of a RDBMS [Postgres preferred]
In-depth knowledge and hands on experience with AWS [Terraform experience preferred]
Comfortable working full-stack
Solid engineering fundamentals and passion for high quality code
Product intuition, user empathy, ability to make sound UX decisions
Strong work ethic, end-to-end ownership mentality
Perks and Benefits:

Competitive salary with employee stock options, bonus and access to a 401K
Medical, dental and vision coverage
Remote-first company
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We're looking for candidates in US and Canada. They must work PST/EST hours/timezones

Hongcheng Zhu

You will build the machine learning systems that power our general artificial intelligence for capital allocation, in close collaboration with our deep learning team.

We are looking for engineers who want to build highly-scalable infrastructure to enable previously impossible machine learning results.

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