What you'll do

Experiment with and adapt the latest ML technologies to fit into our existing tech stack
Solve idiosyncratic statistical, geometric, and engineering problems
Work closely with a full-stack tech team to assist implementation of research solutions into the product
Contribute to hiring additional talent to our rapidly growing team
Work with a broad tech stack (e.g. ReactJS, Python, REST & GraphQL, OpenCV, PyTorch, GCP, AWS & CUDA, Kubernetes) and the cutting edge of computer vision and deep learning

Who we're looking for

Hands-on and experimental — you're comfortable executing on projects end-to-end, running tests, and iterating based on what the data tells you
Collaborative by nature — you work closely with engineering and product teams to turn complex algorithmic ideas into reliable, scalable features
Driven to solve hard problems — you thrive at the intersection of strong ML fundamentals and practical engineering
Bonus: you've led or contributed to applied research teams and have relevant publications to show for it

3+ years of experience in machine learning engineering, with concrete examples of models or systems you've built and shipped
Strong experience in Python and ML libraries such as OpenCV, PyTorch, TensorFlow, Fast.ai, and Keras
Strong foundation in mathematical programming, algorithmic problem solving, and applied machine learning
Bonus: experience in the AI/ML ecosystem and familiarity with computer vision

Competitive salary, commission, and meaningful equity in a high-growth startup
Clear, accelerated growth opportunities as the company scales rapidly
Strong in-person culture: 4–5 days/week in our newly launched North Beach loft office
Flexible PTO to fully recharge
18 paid vacation days in the U.S. plus federal holidays
Annual learning & development budget
Comprehensive health, dental, and vision coverage
Frequent travel opportunities across the U.S., London, and Europe
Bi-annual company offsites, twice-weekly team lunches, and monthly socials