Member of Technical Staff, Research Engineering

micro1 is seeking a talented Research Engineer to join our team and operate at the frontier of Reinforcement Learning. In this role, you will bridge the gap between experimental research and production, building the environments, pipelines, and evaluation systems necessary to advance modern AI models.

Key responsibilities

• Architect self-contained RL environments that capture complex, real-world tasks, including reward functions and evaluation logic.
• Design and scale episode pipelines and multi-component training processes to support reproducible experimentation.
• Build automated data generation systems, leveraging synthetic data to accelerate training cycles.
• Develop and integrate AI-driven evaluation and quality assurance systems for automated grading and feedback loops.
• Establish benchmarking frameworks to measure model capability, robustness, and data quality across various tasks.

Requirements

• Deep experience in Reinforcement Learning, including environment design and training dynamics.
• Strong track record of building and scaling RL systems, pipelines, or experimentation frameworks.
• Proficiency in automation and data generation, including synthetic data pipelines.
• Experience in fine-tuning and evaluating open-source machine learning models.
• Clear, concise communication skills with a focus on technical documentation.

What we offer

• Opportunity to work in a fast-paced, research-driven, and highly collaborative environment.
• Comprehensive benefits package including health insurance premium reimbursement.
• Equity compensation and performance-based bonuses.
• Support for a high-performing, fully remote workforce.