Machine Learning Engineer - Top NYC Investment Manager
Job Description
About the Role
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This role sits inside the team building the models and systems that inform investment decisions, from signal generation to portfolio construction support. The work here doesn't stay in a notebook: models this engineer ships get used by portfolio managers and researchers making real capital allocation decisions.
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What You'll Do
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- Design, build, and productionize machine learning models used in investment research and decision support
- Build and maintain data and feature pipelines supporting model training and inference
- Partner with quant researchers and portfolio managers to translate research ideas into deployed systems
- Monitor model performance in production and iterate based on live results
- Maintain rigorous testing, validation, and documentation standards for models influencing capital decisions
- Evaluate new ML techniques and tooling as the research agenda evolves
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Must-Haves
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- Strong foundation in machine learning and statistics
- Production experience taking models from research to deployment, not just research-only experience. This is non-negotiable for the role
- Strong Python and experience with standard ML frameworks
- Ability to work closely with researchers and translate ambiguous problems into shippable systems
- Comfort with the rigor required when models inform real financial decisions
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Nice-to-Haves
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- Experience working with financial or alternative data
- Exposure to NLP or LLM-based research tooling
- Cloud-based ML infrastructure experience
- Background in a quant research or asset management environment
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Why This Role
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This is a collaborative, research-driven team where the distance between an idea and a live model is short. Compensation is top of market. The pace is steady rather than frantic, with an emphasis on getting things right rather than just getting them out fast. Candidates from strong ML backgrounds outside finance are welcome; deep domain knowledge can be learned on the job. For an ML engineer who wants their models to actually move capital, this is that.