M
Member of Technical Staff, Research Engineering
Contract type
Ongoing
Work mode
Remote
Experience
Lead / principal · Not stated
Level inferred from job title
Job description
A Research Engineer role at micro1 focused on reinforcement learning research and production systems, building RL environments, training pipelines, and evaluation systems to advance AI model capabilities.
At a glance
- Employment
- Full-time · Employee (employment agreement)
- Work mode
- Remote
- Pay
- USD 200,000 – 300,000 / year
What you'll do
- Architect self-contained RL environments that capture complex, real-world tasks, including reward functions, verifiers, and evaluation logic
- Design and scale episode pipelines and multi-component training processes (MCPs) to support reproducible experimentation
- Build automated data generation systems, leveraging synthetic data to accelerate training cycles without compromising quality
- Develop and integrate AI-driven evaluation and quality assurance systems for automated grading, validation, and feedback loops
- Fine-tune and optimize open-source RL models using internally generated datasets and custom training strategies
- Establish benchmarking frameworks to measure model capability, robustness, and data quality across tasks
- Contribute to the release and analysis of evaluations on internal and external benchmark platforms
What we're looking for
- Deep experience in Reinforcement Learning, including environment design and training dynamics
- Strong track record of building and scaling RL systems, pipelines, or experimentation frameworks
- Proficient in automation and data generation, including synthetic data pipelines
- Familiar with automated evaluation systems, model validation, and quality assurance workflows
- Experienced in fine-tuning and evaluating open-source ML models
- Clear, concise communicator with strong technical writing skills
- Comfortable operating in fast-paced, research-driven, and highly collaborative environments
Nice to have
- Experience publishing benchmarks, evaluations, or research artifacts
- Familiarity with evaluation ecosystems (e.g., micro1 benchmarks or similar frameworks)
- Background in scalable infrastructure for large-scale RL experimentation
Benefits
- Base salary of $200,000 – $300,000 USD
- Equity compensation
- Performance-based bonuses, dependent on role and subject to company policies
- Up to 100% reimbursement for health-insurance premiums
- Paid time off
- 401(K) plan with a company match
- Additional benefits designed to support a high-performing, remote-first workforce
How to get hired
- 1Our hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment
Apply
About micro1
Key facts
- Remote-first workforce