To develop safe, steerable, and trustworthy AI systems that are aligned with human interests
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 (PyTorch preferred)
- Familiarity with large-scale machine learning, particularly in the context of language models
- Work on high-performance, large-scale ML systems
- Familiarity with GPUs, Kubernetes, and OS internals
Responsibilities
- Conduct research and implement solutions in areas such as model architecture, algorithms, data processing, and optimizer development
- Design, run, and analyze scientific experiments to advance our understanding of large language models
- Optimize and scale our training infrastructure to improve efficiency and reliability
- Develop and improve dev tooling to enhance team productivity
- Contribute to the entire stack, from low-level optimizations to high-level model design
Other
- Advanced degree (MS or PhD) in Computer Science, Machine Learning, or a related field
- Excellent communication skills and ability to work in a collaborative environment
- Care about the societal impacts of your work
- Education requirements: at least a Bachelor's degree in a related field or equivalent experience
- Location-based hybrid policy: currently, we expect all staff to be in one of our offices at least 25% of the time
