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Doe

Machine Learning Researcher

Reposted 22 Days Ago
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In-Office
San Francisco, CA, USA
Mid level
In-Office
San Francisco, CA, USA
Mid level
The Machine Learning Researcher will develop AI agents for private equity-backed workflows, focusing on ML cycle efficiency and decision-making.
The summary above was generated by AI

At Doe, we’re building an AI workforce that operates mission-critical workflows across private equity-backed rollups - starting with DSOs. These agents need to be fast, resilient, auditable, and secure.

Here's why we might not be the right fit for you:

• We work hard and have a high-velocity environment with lots of growth opportunities.

• We value exceptional performance and continuous improvement. We believe that if you aren't constantly learning, you aren't growing.

• You will be responsible and accountable for making high-impact decisions that determine

Who we're looking for:

  • Someone who has a deep understanding of the ML development cycle, focusing on iteration speed and identifying bottlenecks

  • Someone who is goal-oriented and driven. You must be comfortable being given a goal and doing whatever is necessary to achieve the goal

  • Proficient in Python, Tensorflow or PyTorch

HQ

Doe San Francisco, California, USA Office

San Francisco, California, United States, 94114

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