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Staff Research Engineer, Discovery Team

Anthropic
Hybrid - San Francisco, CA, at least 25% in officeUpdated 1d ago
Compensation
$350k–$850k
Published range · Top quartile for Engineering (554 listings)
Location
Hybrid - San Francisco, CA, at least 25% in office
Remote eligibility
Employment
Full-time
Staff / Principal
Role family
Engineering
AI / ML
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About the job

About the role

As a Research Engineer on the Discovery Team, you will work end to end, identifying and addressing key blockers on the path to scientific AGI. The team is organized around the north star goal of building an AI scientist capable of solving long-term reasoning challenges, and is currently focused on improving models' abilities to use computers as a laboratory for long-horizon tasks.

Responsibilities

  • Work 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
  • 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

Qualifications

Strong candidates should have familiarity with language model training, evaluation, and inference, be comfortable triaging research ideas and diagnosing problems, and enjoy working collaboratively. You may be a good fit if you have 8+ years of ML research experience, expertise in performance optimization and distributed computing systems, and 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, knowledge of containerization technologies (Docker, Kubernetes) and cloud deployment at scale, and experience with VM/sandboxing/container deployment and large-scale data processing.

Compensation

Annual salary: $350,000—$850,000 USD.

Logistics

Minimum education: Bachelor's degree or equivalent combination of education, training, and/or experience. Location-based hybrid policy: all staff are expected to be in one of Anthropic's offices at least 25% of the time. Visa sponsorship is offered.

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