Anthropic is seeking a Research Engineer to join our Pre‑training team, responsible for developing the next generation of large language models. The role combines cutting‑edge research with practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems. Candidates will work remotely, with travel required to various U.S. offices.
Research Engineer/Research Scientist, Pre-training at Anthropic
Remote - Remote
More jobs at AnthropicSalary
USD 350,000 - 850,000
Requirements
Skills
- 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
- 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
- Strong problem‑solving skills
- Excellent communication skills
- Care about the societal impacts of your work
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
Technologies
PythonPyTorchGPUKubernetesOS internalsTransformer architecturesReinforcement learningLarge-scale ETL processes
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