ashby
Machine Learning Engineer
Deeter Analytics
Remote, USA
Full-time
Entry · 0+ years experience
Remote
USD 150000-200000 yearly / year
Discovered 1 weeks ago
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Role Overview
Deeter Analytics is a privately held investment research and trading firm managing its own capital across public markets. After years of discretionary success, we think we have some unique ways of seeing the market, and we pair sharp human judgment with modern AI to act on them.
Some of those ways of seeing the market can be turned into models. We're hiring a Machine Learning Engineer to build them. Reporting to the senior researcher who leads the project, you'll be the hands-on ML person on a new research effort: take an idea from the desk and turn it into data, models, and experiments, then carry it through to something that runs every day and informs how we trade. You'll set up and run your own compute (a GPU workstation or a few cloud instances, not a cluster) and own the whole loop from raw data to a result the team can act on. It's an entry point into a serious seat: no trading experience needed, deep fundamentals required, and the role grows with you as the work proves out. The role is full-time and fully remote, US-based.
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About the role
Deeter Analytics is a privately held investment research and trading firm managing its own capital across public markets. After years of discretionary success, we think we have some unique ways of seeing the market, and we pair sharp human judgment with modern AI to act on them.
Some of those ways of seeing the market can be turned into models. We're hiring a Machine Learning Engineer to build them. Reporting to the senior researcher who leads the project, you'll be the hands-on ML person on a new research effort: take an idea from the desk and turn it into data, models, and experiments, then carry it through to something that runs every day and informs how we trade. You'll set up and run your own compute (a GPU workstation or a few cloud instances, not a cluster) and own the whole loop from raw data to a result the team can act on. It's an entry point into a serious seat: no trading experience needed, deep fundamentals required, and the role grows with you as the work proves out. The role is full-time and fully remote, US-based.
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