Research Engineer/Research Scientist, Pre-training

Anthropic
New York, Boston, San Francisco, Seattle
Workplace: OnsiteFull timeUSD 350,000 - 850,000 annuallyFunction: Education & TrainingEducation: mastersSkills: ["Communication","Collaboration","Problem-solving","Teamwork","Adaptability"]

Research Engineer on the Pre-training team developing the next generation of large language models, bridging cutting-edge ML research with practical engineering. You’ll design experiments, optimize training infrastructure, and contribute from low-level optimizations to model design, collaborating across an expert team to build steerable, safe AI systems.

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Anthropic
Anthropic
1 year ago

Research Engineer/Research Scientist, Pre-training

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Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Research Engineer on the Pre-training team developing the next generation of large language models, bridging cutting-edge ML research with practical engineering. You’ll design experiments, optimize training infrastructure, and contribute from low-level optimizations to model design, collaborating across an expert team to build steerable, safe AI systems.
Location: New York, Boston, San Francisco, Seattle
Workplace: Onsite
Employment Type: Full time
Job Function: Education & Training

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

Pay and Benefits

Salary: USD 350,000 - 850,000 annually

Key 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
Experience:AIMachine LearningResearch
Education:Master's in Computer Science
Skills:CommunicationCollaborationProblem-solvingTeamworkAdaptability
Languages:English
Tech Stack:PythonPyTorchGPUsKubernetesTransformersETLDistributed training

Eligibility

Visa:H1B

Company Brief

Anthropic
Develops large-scale AI systems and safety research to create reliable, steerable, and interpretable AI assistants and models for commercial and research applications.
Industry: AI & Machine Learning
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series C
Headquarters: San Francisco, United States
Founded: 2021
WebsiteLinkedIn