500K–850K USD / year
Research Engineer / Scientist, Pre-training
Machine learningHybrid — San Francisco, CA, Seattle, WA, New York City, NY
Published on 2026-11-02
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About this role
Develop and train large language models, combining research with hands-on engineering across model architecture, data, optimizers, and training infrastructure. Design and analyze experiments while helping build safe, steerable, and trustworthy AI systems.
About the company
Anthropic builds reliable and interpretable AI systems, including the Claude family of models, for businesses and developers. The company focuses on AI safety research and practical AI assistants for enterprise and consumer use.
The team
Pre-training team
Stack
PythonPyTorchGPUsKubernetesTransformers
What you'll do
- Research and implement improvements to model architectures, algorithms, data processing, and optimizers
- Lead small research projects and collaborate on larger initiatives
- Design, run, and analyze experiments on large language models
- Optimize and scale training infrastructure
- Develop tools that improve team productivity
What we're looking for
- Advanced degree in computer science, machine learning, or a related field; equivalent relevant experience may also qualify
- Strong software engineering skills and experience building complex systems
- Expertise in Python and experience with deep learning frameworks
- Familiarity with large-scale machine learning and language models
- Ability to balance research goals with engineering constraints
- Strong problem-solving, communication, and collaboration skills
Nice to have
- Experience with high-performance, large-scale ML systems
- Familiarity with GPUs, Kubernetes, and operating system internals
- Experience with Transformer language models
- Knowledge of reinforcement learning
- Experience with large-scale ETL processes
Benefits
- Flexible working hours
- Generous vacation and parental leave
- Optional equity donation matching