Member of Technical Staff, Research Engineering | $7-$8/hr Remote
Overview
A research driven role focused on advancing reinforcement learning systems from concept to production. You’ll build novel RL environments, scalable training pipelines, and automated evaluation tools to push model capabilities. The work blends research ideas with robust, high-performance systems, all remote and full-time.
What You'll Do7
- 1Create self contained RL environments with reward structures, verifiers, and evaluation logic
- 2Scale episode pipelines and multi component training processes to support reproducible experiments
- 3Develop automated data generation using synthetic data to speed up training without sacrificing quality
- 4Design and integrate AI driven evaluation and QA systems for automated grading, validation, and feedback loops
- 5Tune and optimize open source RL models using internal datasets and custom training methods
- 6Set up benchmarking frameworks to measure model ability, robustness, and data quality across tasks
- 7Contribute to release cycles with evaluations on internal and external benchmarks like micro1 benchmarks
Requirements7
- 1Strong background in Reinforcement Learning including environment design and training dynamics
- 2Proven track record in building and scaling RL systems, pipelines, or experimentation frameworks
- 3Experience with automated data generation and synthetic data pipelines
- 4Familiarity with automated evaluation, model validation, and quality assurance workflows
- 5Experience fine tuning and evaluating open source ML models
- 6Clear, concise communication and solid technical writing skills
- 7Ability to thrive in fast moving, research oriented, highly collaborative settings
Who Should Apply
Ideal candidates are hands on problem solvers who enjoy bridging research ideas with scalable systems. You should be comfortable working remotely, collaborating across teams, and translating experiments into reliable production components.
Salary Insight
The posting notes a base salary range of $140,000 to $180,000 USD, with equity eligibility and potential performance bonuses.
Location
Required Skills
Application Tip
Prepare a concise portfolio of RL environments or pipelines you built, including metrics that show improvements in training efficiency or model performance.
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