Research Engineer, Environment Scaling

📋 Description

• Own end-to-end RL environment creation for new capabilities.
• Improve and execute fine-tuning for Claude in new domains.
• Manage external data vendors; evaluate data quality and rewards.
• Collaborate with domain experts on data pipelines and evals.
• Explore RL environment designs for high-value tasks.
• Develop QA frameworks to catch reward hacking and env quality.

🎯 Requirements

• Experience fine-tuning LLMs for specific domains or real-world use cases.
• Experience with RL, reward design, or data curation for LLMs.
• Comfortable managing vendor relationships and rapid iteration loops.
• Strong project management and interpersonal skills.
• Bachelor's degree or equivalent experience.
• Excited about a role combining ML research, data ops, and PM.

🎁 Benefits

• Competitive compensation and benefits.
• Optional equity donation matching.
• Generous vacation and parental leave.
• Flexible working hours.
• Office space for collaboration.