Anthropic Research Engineer, Domain Scaling: AI Research Job in the United States Paying Up to $850,000
Anthropic is recruiting a Research Engineer, Domain Scaling to join its team and help advance the capabilities of Claude across important areas of professional knowledge work. The position is aimed at experienced artificial intelligence and machine learning professionals with expertise in areas such as large language models, reinforcement learning, data strategy and machine learning experimentation.
The full-time position is based in the United States, with opportunities in San Francisco, California; New York City, New York; and Seattle, Washington. The advertised annual salary ranges from USD $350,000 to $850,000, depending on the candidate’s experience, qualifications and internal job level.
About Anthropic
Anthropic is an artificial intelligence company focused on developing reliable, interpretable and steerable AI systems. Its teams work across research, engineering and AI safety to develop systems designed to be useful while addressing important questions around responsible AI development.
The Research Engineer, Domain Scaling will join a team working to improve Claude’s performance on complex professional and industry-specific tasks. The Domain Scaling team focuses on areas such as finance, healthcare and legal services, creating opportunities for researchers and engineers to work on AI applications with significant real-world potential.
About the Research Engineer Role
This position combines applied AI research, engineering, data strategy and reinforcement learning. The successful candidate will help develop the data and training environments required to improve AI models and evaluate their performance on complex knowledge-work tasks.
The role involves identifying valuable tasks, sourcing real-world and synthetic data, developing reward signals, creating reinforcement learning environments and evaluating how different data strategies affect model capabilities.
Candidates should be comfortable moving between technical research, experimentation, data analysis and practical implementation. Strong collaboration skills are also important because the position involves working with research teams, product teams, domain experts and external technical partners.
Key Responsibilities
The Research Engineer will be responsible for owning data strategies for knowledge-work areas, from identifying tasks and sourcing data through reinforcement learning training.
Other responsibilities include managing technical relationships with external data vendors, evaluating data quality and contributing to reward-design processes.
The successful candidate will also collaborate with domain experts to develop data pipelines and evaluation systems. They may explore new approaches for creating reinforcement learning environments and build quality-assurance frameworks designed to identify reward hacking and maintain the quality of training environments.
Another important responsibility will be conducting generalisation experiments to determine how different data strategies influence model capabilities. The role will also involve translating AI capability objectives into effective training environments and evaluations.
Who Can Apply?
Anthropic is looking for candidates with strong technical experience in artificial intelligence and machine learning. Relevant experience may include large language models, reinforcement learning or LLM training data.
Applicants may have experience fine-tuning large language models for specific domains or real-world applications. Experience with machine learning research, experimentation, data curation, reward design, data quality assurance and technical data sourcing can also strengthen an application.
Candidates with experience training production machine learning systems, developing LLM evaluations or benchmarks, or working with external research and technology partners may be particularly competitive.
The minimum education requirement is a Bachelor’s degree or an equivalent combination of education, training and professional experience.
Importantly, Anthropic indicates that candidates do not necessarily need to meet every qualification listed. Professionals who can demonstrate relevant expertise and the ability to contribute meaningfully to the team’s work are encouraged to apply.
Location and Visa Sponsorship
The position is available in San Francisco, New York City and Seattle. It follows a hybrid work model, with employees expected to spend at least 25% of their working time in an Anthropic office, although individual roles may require more in-person participation.
Anthropic also indicates that visa sponsorship is available for eligible roles and candidates. Sponsorship is subject to the specific position and the candidate’s eligibility, so international applicants should carefully review the official vacancy information.
Salary and Benefits
The advertised annual salary is between USD $350,000 and $850,000. The final compensation offered will depend on factors including the candidate’s experience, qualifications and internal job level.
Anthropic also provides a competitive benefits package, which may include equity, donation matching, vacation and parental leave, flexible working arrangements and access to collaborative office environments.
How to Apply
Applicants can apply through Anthropic’s official careers platform. Candidates should be prepared to provide a resume or LinkedIn profile and explain their motivation for joining Anthropic.
The application process may also ask about relocation, visa sponsorship, willingness to work from an office and potential start dates.
For experienced AI and machine learning professionals, this position represents an opportunity to work at the intersection of advanced AI research, reinforcement learning, data strategy and real-world applications.
Position: Research Engineer, Domain Scaling
Organisation: Anthropic
Location: San Francisco, New York City or Seattle, United States
Employment: Full-time
Salary: USD $350,000–$850,000 annually
Education: Bachelor’s degree or equivalent experience
Work model: Hybrid
Office requirement: At least 25%
Visa sponsorship: Available for eligible roles and candidates
Apply through the official Anthropic careers platform: Apply for Research Engineer, Domain Scaling
Applicants should verify all requirements, compensation details, location conditions and sponsorship information on the official vacancy page before applying.
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