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Research Engineer, Domain Scaling
Summary by AIEngineer.careers
Research Engineer, Domain Scaling is a AI Research Engineer role (full-time). with Anthropic. in SAN FRANCISCO, US. Compensation shown: $350K–$850K. Imported listing (source: globalsouthopportunities.com). Apply on the employer's site (globalsouthopportunities.com).
Imported listing (source: globalsouthopportunities.com) · Apply on globalsouthopportunities.com
SAN FRANCISCO · US
$350K–$850K
Full-time
SENIOR
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from globalsouthopportunities.com
Advance Claude's capabilities through applied research, reinforcement learning, and data strategy. Focus on domain scaling techniques to improve model performance and generalization across specialized areas.
Responsibilities
- Conduct applied research to scale model capabilities
- Develop and implement reinforcement learning strategies
- Design data collection and curation pipelines
- Perform hands-on experimentation and ablation studies
Requirements
- Strong background in machine learning and deep learning
- Experience with reinforcement learning and LLM training
- Proficiency in Python and ML frameworks
- Published research or equivalent practical experience
Nice to Have
- Experience with domain-specific scaling methods
- Familiarity with distributed training systems
- Contributions to open-source AI projects
Tech Stack
Applied Research
Anthropic
San Francisco · US · 6110+ employees
Anthropic is an AI safety and research company and public benefit corporation focused on building reliable, interpretable, and steerable AI systems. It conducts frontier research and turns that work into products such as Claude for businesses, nonprofits, and civil society.
