Research Scientist / Research Engineer, Pretraining

Anthropic is at the forefront of AI research, dedicated to developing safe, ethical, and powerful artificial intelligence.
San Francisco Bay Area, CA, USA · Seattle, WA, USA · New York, NY, USA
$315,000 - $510,000
Machine Learning
Senior Software Engineer
Hybrid
5+ years of experience
AI

Description For Research Scientist / Research Engineer, Pretraining

Anthropic is seeking a Research Scientist / Research Engineer to join our Pretraining team, responsible for developing the next generation of large language models. In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems.

Key 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

Qualifications:

  • 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
  • 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

Preferred Experience:

  • Work on high-performance, large-scale ML systems
  • Familiarity with GPUs, Kubernetes, and OS internals
  • Experience with language modeling using transformer architectures
  • Knowledge of reinforcement learning techniques
  • Background in large-scale ETL processes

At Anthropic, we are committed to fostering a diverse and inclusive workplace. We strongly encourage applications from candidates of all backgrounds, including those from underrepresented groups in tech.

Anthropic offers competitive compensation, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

Last updated 17 days ago

Responsibilities For Research Scientist / Research Engineer, Pretraining

  • Conduct research and implement solutions in model architecture, algorithms, data processing, and optimizer development
  • Lead small research projects and collaborate on larger initiatives
  • Design, run, and analyze scientific experiments on large language models
  • Optimize and scale training infrastructure
  • Develop and improve dev tooling
  • Contribute to the entire stack, from low-level optimizations to high-level model design

Requirements For Research Scientist / Research Engineer, Pretraining

Python
Kubernetes
  • Advanced degree (MS or PhD) in Computer Science, Machine Learning, or related field
  • Strong software engineering skills
  • Expertise in Python and deep learning frameworks (PyTorch preferred)
  • Familiarity with large-scale machine learning and language models
  • Ability to balance research goals with practical engineering constraints
  • Strong problem-solving skills and results-oriented mindset
  • Excellent communication skills and collaborative ability
  • Care about societal impacts of work

Benefits For Research Scientist / Research Engineer, Pretraining

Medical Insurance
Dental Insurance
Vision Insurance
401k
Parental Leave
Equity
  • Comprehensive health, dental, and vision insurance
  • 401(k) plan with 4% matching
  • 22 weeks of paid parental leave
  • Unlimited PTO
  • Stipends for education, home office improvements, commuting, and wellness
  • Fertility benefits via Carrot
  • Daily lunches and snacks in office
  • Relocation support for those moving to the Bay Area

Interested in this job?

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