Research Engineer/Research Scientist, Pre-training
Remote • Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY
Posted 16d ago
Job Location
Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY
Tech Stack
Remote Work Policy
Fully remote
Categories
AI Research Engineer
About the job
Anthropic is seeking a Research Engineer to join its Pre-training team, focusing on developing the next generation of large language models. This role operates at the intersection of cutting-edge research and practical engineering, contributing to the creation of safe, steerable, and trustworthy AI systems. The team is dedicated to ensuring that transformative AI systems are aligned with human interests and societal benefit.
Responsibilities
- Conduct research and implement solutions in model architecture, algorithms, data processing, and optimizer development.
- Lead small research projects independently and collaborate on larger initiatives.
- Design, execute, and analyze scientific experiments to advance understanding of large language models.
- Optimize and scale training infrastructure for improved efficiency and reliability.
- Develop and enhance development tooling to boost team productivity.
- Contribute across the entire technology stack, from low-level optimizations to high-level model design.
Requirements
- Advanced degree (MS or PhD) in Computer Science, Machine Learning, or a related field.
- Strong software engineering skills with experience building complex systems.
- Expertise in Python and deep learning frameworks (PyTorch preferred).
- Familiarity with large-scale machine learning, especially for language models.
- Ability to balance research goals with practical engineering constraints.
- Strong problem-solving skills and a results-oriented mindset.
- Excellent communication and collaboration skills.
- Commitment to considering the societal impacts of AI work.
Benefits
- Annual compensation range: $350,000 - $850,000 USD
- Visa sponsorship available