Research Engineer, Pretraining

Overview

Join Anthropic as a Research Engineer on the Pretraining team to advance the next generation of large language models. You will bridge cutting-edge research and practical engineering to build safe, steerable AI systems. You’ll run experiments, optimize training infrastructure, and contribute across the stack from model design to tooling. This role offers the chance to impact large-scale ML while aligning with human values and societal considerations.

Pay / Benefits

• competitive compensation and benefits
• optional equity donation matching
• generous vacation and parental leave
• flexible working hours
• lovely office space
• visa sponsorship available

Responsibilities

• 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 experiments to advance understanding of large language models
• Optimize and scale training infrastructure for efficiency and reliability
• Develop and improve dev tooling to boost team productivity
• Contribute to the entire stack, from low-level optimizations to high-level model design

Key requirements

• Advanced degree (MS or PhD) in Computer Science, Machine Learning, or 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 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 in a collaborative environment
• Care about the societal impacts of your work
• Collaborative mindset
• Results-oriented
• Strong communication
• Python
• PyTorch
• Deep learning frameworks

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