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