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Machine Learning Researcher

Doe - San Francisco | OnSite

Posted Jun 10, 2026

Benefits

Parental leave
Not verified
Non-birth-parent leave
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Family-building benefits
  • Fertility benefits: Not verified
  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
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Relocation assistance
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Childcare support
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Learning budget
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Verification
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Salary
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401(k) match
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Market context

U.S. role benchmark (BLS OEWS)
$111,944 U.S. median for this role
Projected growth (BLS Employment Projections)
+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function
Data From the posting source checked Jun 20, 2026
Seniority
Mid From the posting source checked Jun 20, 2026
Work mode
Onsite From the posting source checked Jun 20, 2026
In-office days
5 days From the posting source checked Jun 20, 2026

Schedule

Shift type
Not verified
Weekend work
Not verified

Company

Equity
Offered From the posting source checked Jun 20, 2026

Application

Cover letter
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Assessment
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Deadline
Not stated

Where they hire

State eligibility is not yet verified.

About this role

Machine Learning Researcher San Francisco | OnSite 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

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