1 year ago
Remote, Worldwide +3 moreMid Level / Senior
H1B Sponsor
Base Salary
$340k - $425k/yr
Responsibilities
- Conduct research and implement solutions in model architecture, algorithms, data processing, and optimizer development.
- Independently lead small research projects while collaborating on larger initiatives.
- Design, run, 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 to the entire 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 a proven track record of building complex systems.
- Expertise in Python and experience with deep learning frameworks, preferably PyTorch.
- Familiarity with large-scale machine learning, particularly in language models.
- Ability to balance research goals with practical engineering constraints.
- Strong problem-solving skills and a results-oriented mindset.
- Excellent communication skills and ability to work collaboratively.
- A commitment to understanding the societal impacts of your work.
Benefits
- Competitive compensation and benefits.
- Optional equity donation matching.
- Generous vacation and parental leave.
- Flexible working hours.
- A collaborative office space.
Tech Stack
Categories
AI ResearchML Engineering
About Anthropic
We're an AI research company that builds reliable, interpretable, and steerable AI systems. Our first product is Claude, an AI assistant for tasks at any scale. Our research interests span multiple areas including natural language, human feedback, scaling laws, reinforcement learning, code generation, and interpretability.