Staff Research Engineer, Discovery Team

Anthropic
San Francisco, New York, Seattle
Workplace: HybridFull timeFunction: Research & Scientific (R&D)Experience: 8+ yearsEducation: bachelorsSkills: ["Collaboration","Problem-solving","Communication","Teamwork"]

Join a research-engineering role focused on removing bottlenecks toward scientific AGI, expanding long-horizon reasoning capabilities, and scaling research ideas from prototype to production. You’ll work across the full stack on language model training, evaluation, and inference, with emphasis on performance optimization, distributed systems, container deployment, and large-scale data pipelines in a collaborative, multi-office environment.

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Anthropic
Anthropic
1 year ago

Staff Research Engineer, Discovery Team

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Last checked: 9 hours agoStatus: Live

Job Summary

Join a research-engineering role focused on removing bottlenecks toward scientific AGI, expanding long-horizon reasoning capabilities, and scaling research ideas from prototype to production. You’ll work across the full stack on language model training, evaluation, and inference, with emphasis on performance optimization, distributed systems, container deployment, and large-scale data pipelines in a collaborative, multi-office environment.
Location: San Francisco, New York, Seattle
Workplace: Hybrid
Employment Type: Full time
Job Function: Research & Scientific (R&D)

Key Responsibilities

  • •Identify and remove bottlenecks across the full stack to progress toward scientific AGI.
  • •Develop approaches to address long-horizon task completion and complex reasoning challenges for scientific discovery.
  • •Scale research ideas from prototype to production.
  • •Create benchmarks and evaluation frameworks to measure model capabilities in scientific workflows and computer use.
  • •Implement distributed training systems and performance optimizations to support large-scale model development.

Key Requirements

  • •8+ years of ML research experience.
  • •Familiar with large scale language model training, evaluation, and inference pipelines.
  • •Enjoy obsessively iterating on immediate blockers towards longterm goals.
  • •Thrive working collaboratively to solve problems.
  • •Expertise in performance optimization and distributed computing systems.
Experience:8+ yearsArtificial intelligenceMachine learningLanguage models
Education:Bachelor's
Skills:CollaborationProblem-solvingCommunicationTeamwork
Languages:English
Tech Stack:DockerKubernetesDistributed systemsCloud deploymentVM/sandboxingData pipelinesLanguage models

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