Domain-Scaling Research Engineer | RL Environments

Anthropic; San Francisco (CA); On-site; USD 350,000 - 850,000; Full time

Benefits offered by this job

Generous vacation and parental leave

Optional equity donation matching

Flexible working hours

Job summary

Anthropic, based in San Francisco, is looking for a qualified candidate to join their Domain Scaling team. This unique role involves refining AI model capabilities through applied research and data sourcing in various sectors such as finance and healthcare.

The ideal candidate will have experience in fine-tuning large language models, managing vendor relationships, and implementing reinforcement learning strategies. Competitive compensation ranges from $350,000 to $850,000 annually.

Qualifications

• Experience with fine-tuning large language models for specific domains.
• Experience with reinforcement learning and reward design.
• Strong cross-functional collaboration skills.

Responsibilities

• Own the data strategy for knowledge work verticals end-to-end.
• Manage technical relationships with external data vendors.
• Collaborate with domain experts to design data pipelines.

Skills

Fine-tuning large language models

Reinforcement learning

Reward design

Data curation

Cross-functional collaboration

Education

Bachelor's degree or equivalent

Job description

Anthropic, based in San Francisco, is looking for a qualified candidate to join their Domain Scaling team. This unique role involves refining AI model capabilities through applied research and data sourcing in various sectors such as finance and healthcare.

The ideal candidate will have experience in fine-tuning large language models, managing vendor relationships, and implementing reinforcement learning strategies. Competitive compensation ranges from $350,000 to $850,000 annually.