Research Engineer, Domain Scaling

About this role

Join Anthropic's Domain Scaling team to develop specialized AI capabilities for real-world industries like finance, healthcare, and legal. You'll lead the end-to-end process of creating reinforcement learning environments, managing data sourcing, and measuring model performance improvements across knowledge work domains.

What you'll do

• Own data strategy for knowledge work verticals from task sourcing through RL training
• Manage technical relationships with external data vendors and evaluate data quality
• Collaborate with domain experts to design data pipelines and evaluation frameworks
• Develop novel approaches for creating RL environments for high-value tasks
• Build QA frameworks to prevent reward hacking and ensure environment quality
• Partner with RL and product teams to translate capability goals into training environments

What they're looking for

• Large language model fine-tuning and domain adaptation
• Reinforcement learning and reward design
• Training data curation and LLM dataset management
• Vendor management and technical relationship building
• ML evaluation and benchmark design
• Cross-functional collaboration
• Production ML systems experience
• Domain expertise in finance, healthcare, or legal

Benefits

• Annual salary range: $350,000–$850,000 USD
• Hybrid work policy requiring 25% office time minimum
• Visa sponsorship available
• Work on cutting-edge AI safety and capability research
• Multiple office locations: San Francisco, New York City, or Seattle