Staff Research Engineer, Discovery Team

The role

You will work across the full stack to identify and remove bottlenecks preventing progress toward scientific AGI. You will develop approaches for long-horizon task completion and complex reasoning, scale research ideas, and implement distributed training systems.

What you will do

• 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
• Scaling research ideas from prototype to production
• Create benchmarks and evaluation frameworks to measure model capabilities
• Implement distributed training systems and performance optimizations

Required qualifications

• 8+ years of ML research experience
• Familiarity with large scale language model training, evaluation, and inference pipelines
• Expertise in performance optimization and distributed computing systems
• Strong problem-solving skills and ability to identify technical bottlenecks in complex systems
• Ability to translate research concepts into scalable engineering solutions
• Track record of shipping ML systems that tackle challenging multi-step reasoning problems
• Bachelor’s degree or an equivalent combination of education, training, and/or experience
• Field of study relevant to the role as demonstrated through coursework, training, or professional experience

Nice to 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)
• 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

Benefits

• Competitive compensation and benefits
• Optional equity donation matching
• Generous vacation and parental leave
• Flexible working hours
• Office space

Before you apply

• We do sponsor visas, though not for every role and candidate
• Staff are expected to be in one of our offices at least 25% of the time

About the company

Anthropic is a public benefit corporation headquartered in San Francisco. Its mission is to create reliable, interpretable, and steerable AI systems.