Research Engineer, Pretraining
Software Development
Excel
WFA Digital Insight
As demand for AI specialists continues to grow, Anthropic stands out for its commitment to safe and beneficial AI systems. With a strong background in machine learning and software engineering, candidates can expect to work on cutting-edge projects. The current remote job market emphasizes skills like Python and deep learning frameworks, making this role an attractive opportunity for those looking to advance their careers in AI research.
Job Description
About the Role
Anthropic is dedicated to developing safe, ethical, and powerful artificial intelligence. We are seeking a Research Engineer to join our Pre-training team, responsible for developing the next generation of large language models.Responsibilities
- Conduct research and implement solutions in areas such as model architecture, algorithms, data processing, and optimizer development
- Independently lead small research projects while collaborating with team members on larger initiatives
- 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
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
- Ability to balance research goals with practical engineering constraints
How to Stand Out
- Ensure your portfolio showcases your experience with Python and deep learning frameworks, highlighting projects that demonstrate your ability to work on complex systems.
- Be prepared to discuss your understanding of large language models and how you can contribute to their development.
- Familiarize yourself with Anthropic's mission and values to demonstrate your care for the societal impacts of your work.
- Practice explaining technical concepts in a clear, concise manner to showcase your communication skills.
- Highlight any experience with GPU optimization and high-performance ML systems to stand out as a candidate.
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