Machine Learning Researcher

Reposted 6 Days Ago
Be an Early Applicant
San Francisco, CA, USA
In-Office
Mid level
Information Technology • Software
The Role
The Machine Learning Researcher will develop AI agents for private equity-backed workflows, focusing on ML cycle efficiency and decision-making.
Summary Generated by Built In

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

Skills Required

  • Deep understanding of ML development cycle
  • Proficiency in Python
  • Experience with Tensorflow or PyTorch
Am I A Good Fit?
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The Company
HQ: San Francisco, California
34 Employees
Year Founded: 2025

What We Do

A workspace where agents do work and humans get augmented.

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