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Machine Learning Researcher

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Doe

B2B

Machine Learning Researcher

San Francisco
On-site
Full-time
Posted Jul 31, 2025
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Opens the original job posting

Engineering
On-site

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

Apply for this role
Doe logo

Doe

Company profile

The boring stuff, handled. Everything else, supercharged.

View Doe

Headquarters

San Francisco, CA, USA

Team size

1-10

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