Member of Technical Staff, Research Engineering
- Pay
- $200,000–$300,000/year
- Where
- Remote
- Type
- Full-time
- Eligibility
- Country eligibility not stated. Check with the provider before applying.
- Listing
- Last verified Oct 9, 2026
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Overview
Build reinforcement-learning environments, training pipelines and evaluation systems at the research/production boundary.
Responsibilities
- Design self-contained RL tasks with rewards, verifiers and evaluation logic.
- Scale episodes and multi-component training pipelines; generate synthetic data and automate grading/validation.
- Tune open-source RL models, benchmark capabilities/data quality and release/analyze research evaluations.
Requirements
- Deep RL environment/training expertise and record scaling RL systems/pipelines; automation and synthetic-data skill; automated evaluation, model validation and open-source tuning experience; strong technical writing and collaborative research execution.
Preferred
- Published benchmarks/evaluations/research artifacts; evaluation ecosystems and large-scale RL infrastructure.
Engagement and pay
- $200,000-$300,000 annual base salary.
- Full-time position.
- Weekly hours, contract duration and start date are not stated.
- The headline separately lists $400,000-$800,000/year compensation; the body specifies the annual base salary above. Equity eligibility and possible performance bonuses depend on role and policy. Benefits include up to 100% health-premium reimbursement, paid time off and a matched 401(k). AI assists screening alongside human decisions. Equal-opportunity hiring and reasonable accommodation are stated; the posting is informational and may change, not a binding employment offer.
Eligibility
- Country eligibility is not stated. Remote does not guarantee worldwide eligibility.
Skills
- reinforcement learning
- ml-oriented data design
- rl environments
- rl workflows