Staff Research Engineer
Turing · Palo Alto, California, United States; San Francisco, California, United States; Seattle, Washington, United States
Posted 22 days ago · $250,000 to $400,000
or apply directly on Turing's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 22 days Turing's roles stay open a median of 45 days
- Reposted
- No
- Salary listed
- Yes 50% of Turing's roles list one
- Ghost-job risk at Turing
- high 13 stale, 2 reposted of 24 open
- Hiring momentum
- 40 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Turing's own greenhouse board since 2026-08-03. Full hiring picture for Turing.
About this role
As a Staff Research Engineer at Turing, you will lead the end-to-end lifecycle of reinforcement learning (RL) environment projects tailored for AI labs and enterprise clients. This role involves designing environments, ensuring data quality, managing teams, and maintaining customer relationships while directly influencing revenue through your projects. You will also participate in client solutioning and demonstrate the value of your environments through evaluations and fine-tuning experiments.
- benefits
- 3/5
- freshness
- 4/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 5/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Turing as an employer.
What you need
- RL & Post-training experience
- Engineering Management experience
- Systems thinking + Database/API design
- Hands-on technical capability in Python and SQL
- Operational leadership
- Cross-functional communication skills
What you get
- Compensation: $250,000 to $400,000 OTE + Equity
- Work directly with leading AI labs
- Contribute to leading-edge AI research
- Collaborate with exceptional colleagues from top tech companies
- High autonomy and rapid learning curve
Worth weighing
- Role requires being in office five days a week
- No remote work options mentioned
- High-stakes projects with complex data pipelines
- Fast-paced environment may require adaptability
Summarised from Turing's posting. Read the full original.
Listed by Turing on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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