Anthropic is hiring professionals to help build reliable, interpretable and steerable artificial intelligence systems. The company brings together researchers, engineers, policy experts and business leaders focused on creating AI systems that are safe and beneficial for society.
Research Engineer, Domain Scaling Opportunity
Anthropic is recruiting a Research Engineer, Domain Scaling for locations including:
- San Francisco, California
- New York City, New York
- Seattle, Washington
The role focuses on improving Claude’s ability to perform real-world knowledge work across areas such as finance, healthcare and legal industries. The position combines applied research, data sourcing and development of reinforcement learning environments to improve AI model capabilities.
Key Responsibilities
The successful candidate will contribute to:
- Developing data strategies for knowledge-work domains
- Managing technical relationships with external data providers
- Designing data pipelines and evaluation systems
- Creating reinforcement learning environments
- Improving quality assurance frameworks
- Measuring how data strategies improve AI performance
- Collaborating with research and product teams to develop AI capabilities
Ideal Candidate Profile
Candidates may be a strong fit if they have experience with:
- Fine-tuning large language models for specialised applications
- Reinforcement learning and reward design
- Training data curation for LLMs
- Managing technical partnerships
- Dataset analysis and quality evaluation
- Cross-functional collaboration
- Building useful AI systems across industries
Additional experience that can strengthen an application includes:
- Training production machine learning systems
- Designing AI benchmarks and evaluation frameworks
- Domain expertise in relevant industries
- Working with external technical partners
Salary and Benefits
The annual compensation range for this Anthropic Research Engineer role is:
$350,000 – $850,000 USD per year
Education Requirements
Applicants should have:
- A Bachelor’s degree or equivalent combination of education, training and experience
- Relevant study background demonstrated through coursework, training or professional experience
Visa Sponsorship Available
Anthropic supports visa sponsorship for eligible candidates. The company states that it makes reasonable efforts to assist successful candidates with immigration support, although sponsorship availability may depend on the role and candidate circumstances.
Why Join Anthropic?
Anthropic focuses on high-impact AI research, working on large-scale research efforts aimed at creating trustworthy and steerable AI systems. The company values collaboration, communication skills and research-driven approaches to artificial intelligence development.
Who Should Apply?
This opportunity is suitable for:
- Machine Learning Engineers
- AI Researchers
- Data Scientists
- Software Engineers
- NLP Specialists
- Reinforcement Learning Engineers
- AI Safety Researchers
- Professionals building expertise in generative AI
How to Apply
Interested candidates can apply through Anthropic’s official careers platform. Applicants are encouraged to apply even if they do not meet every listed qualification, as the company considers strong candidates from diverse backgrounds.
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