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Anthropic

Staff Research Engineer, Discovery Team

Anthropic
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hybrid staff full-time $350,000-$850,000 USD San Francisco, CA

First indexed 18 Jun 2026

Description

As a Research Engineer on our team you will work end to end, identifying and addressing key blockers on the path to scientific AGI.

Responsibilities:

  • Working across the full stack to identify and remove bottlenecks preventing progress toward scientific AGI
  • Develop approaches to address long-horizon task completion and complex reasoning challenges essential for scientific discovery
  • Scaling 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

You may be a good fit if you:

  • Have 8+ years of ML research experience
  • Are 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
  • Have expertise in performance optimization and distributed computing systems
  • Show strong problem-solving skills and ability to identify technical bottlenecks in complex systems
  • Can translate research concepts into scalable engineering solutions
  • Have a track record of shipping ML systems that tackle challenging multi-step reasoning problems

Strong candidates may also have:

  • Expertise with performance optimization for language model inference and training
  • Experience with computer use automation and agentic AI systems
  • A history working on reinforcement learning approaches for complex task completion
  • Knowledge of containerization technologies (Docker, Kubernetes) and cloud deployment at scale
  • Demonstrated ability to work across multiple domains (language modeling, systems engineering, scientific computing)
  • Have experience with VM/sandboxing/container deployment and large-scale data processing
  • Experience working with large scale data problem solving and infrastructure
  • Published research or practical experience in scientific AI applications or long-horizon reasoning

The annual compensation range for this role is $350,000-$850,000 USD.

This listing is enriched and indexed by YubHub. To apply, use the employer's original posting: https://job-boards.greenhouse.io/anthropic/jobs/4593216008