Machine Learning Researcher
San Francisco, CAFull-timePosted 1y agoStill listed today
Most applications go out cold — see where you stand first. No sign-up to start.
You apply on the employer's site, with no Olive account needed.
Watch jobs like this. New roles like this one near San Francisco, CA, by email.
Don't just apply. Show up ready.
Olive works from this exact posting.
At a glance
Olive lists jobs from US employers, including remote roles you can work from the United States.
Job overview
Doe is building an AI workforce to operate mission-critical workflows across private equity-backed rollups, starting with dental support organizations. The Machine Learning Researcher will bring a deep understanding of the machine learning development cycle, with a focus on iteration speed and identifying bottlenecks. The posting seeks someone goal-oriented and driven, comfortable doing what is necessary to achieve assigned goals, and proficient in Python and TensorFlow or PyTorch.
Skills & qualifications
Skills
Full job description
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
How this job compares
Set against the 587 open Machine Learning Researcher jobs on Olive Jobs, counted November 8, 2026.
- Pay
- This postingNot listed
- California median$184–300K/yr160 salary ranges
- US median$40–85/hr21 hourly ranges
- Openings
- Olive Jobs lists 281 open Machine Learning Researcher jobs in California and 587 across the US. 7% of them nationwide are listed as remote or flexible.
- Experience
- Machine Learning Researcher postings that state a minimum ask for 3 years of experience at the median; the middle half ask for 2 to 5 years (225 postings).
- Education
- 227 of the 587 open Machine Learning Researcher jobs (39%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 8, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
Prepare for this role
You've read the whole posting — now see how you match it.
