Machine Learning Engineer (Generalist) — AI Lab
NYC - 4 days in office
$1.5 million (Base + Bonus + LTI)
About the lab
Join a small, elite AI lab tackling high-stakes problems with real-world impact. The team blends startup speed with serious resources. Engineers and researchers work side by side, moving fast, giving direct feedback, and shipping systems that matter.
What you’ll do
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Own the full ML lifecycle from idea to production: data prep, training, diagnostics, iteration, deployment, and monitoring
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Collaborate closely with research scientists to choose methods, design experiments, and interpret results
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Build reliable, maintainable production code in Python and modern ML tooling
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Improve workflows and contribute to scaling the lab from 0?1?100
What you’ll bring
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Strong software engineering foundation and hands-on coding in Python
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Fluency with ML tooling such as NumPy, Pandas, and PyTorch
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Track record of shipping ML systems end-to-end, not just running prebuilt pipelines
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Clear thinking, bias to action, and comfort in a candid, fast-moving environment
Nice to have
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Experience optimizing training loops or performance in PyTorch
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Breadth across classical ML and deep learning
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Prior experience in small, high-ownership teams
Location
NYC. Hybrid collaboration with onsite time for key moments. Exact expectations are tailored to the team’s needs.
Compensation
Top-of-market package with base, bonus, and a long-term incentive aligned to the lab’s success.
Apply
If you’re a builder who loves owning ML systems end-to-end and working with exceptional peers, we’d love to meet you.
