Research Engineer, Domain Scaling

Details

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. The Domain Scaling team focuses on making Claude world-class at real-world knowledge work in domains such as finance, healthcare, and legal. This role combines applied research and hands-on data work: you will own end-to-end processes for creating RL environments, from identifying high-value tasks through reward design, data sourcing, vendor management, and measuring impact on model performance.

Responsibilities

• Own the data strategy for knowledge work verticals end-to-end, from task sourcing through RL training
• Manage technical relationships with external data vendors, including evaluation of data quality and reward design
• Collaborate with domain experts to design data pipelines and evaluations
• Explore novel ways of creating RL environments for high-value tasks
• Develop and improve QA frameworks to catch reward hacking and ensure environment quality
• Run generalization experiments to measure how data strategy changes improve model capabilities
• Partner with other RL research teams and product teams to translate capability goals into training environments and evaluations

Requirements

• Experience fine-tuning large language models for specific domains or real-world use cases
• Experience with reinforcement learning, reward design, or training data curation for LLMs
• Comfortable managing technical vendor relationships and iterating quickly on feedback
• Ability to read through datasets to understand them and spot issues
• Strong cross-functional collaboration skills
• Interest in a role combining applied research and hands-on data work

Strong candidates may also have:

• Experience training production ML systems
• Experience designing evaluations or benchmarks for LLMs
• Domain expertise in a vertical (e.g., finance, healthcare, legal)
• Experience working with external vendors or technical partners

Logistics

• Annual Salary: $350,000 - $850,000 USD
• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
• Minimum years of experience: Correlates with internal job level requirements for the position
• Location-based hybrid policy: Staff are expected to be in one of the offices at least 25% of the time (some roles may require more)
• Visa sponsorship: Anthropic states they do sponsor visas and retain an immigration lawyer to assist, though sponsorship is not guaranteed for every role/candidate

Benefits

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

About Anthropic

Anthropic is a public benefit corporation headquartered in San Francisco focused on building steerable, trustworthy AI. The company emphasizes large-scale, collaborative research and values communication and impact. For candidates, Anthropic provides guidance on acceptable AI usage in the application process and warns about recruiting scams.