Staff Research Engineer, Discovery Team
Core
Building AI systems capable of long-horizon reasoning and computer use to solve scientific discovery challenges.
Role type
Staff Research Engineer (AI Systems)
Builds
Scalable AI systems for scientific workflows and long-horizon task completion
Domain
Artificial Intelligence / Scientific Computing
Deliverable
production ML models
Required skills
large-scale language model training, evaluation, and inference pipelines, performance optimization, distributed computing systems, distributed training systems, scaling research prototypes to production, creating benchmarks and evaluation frameworks
Preferred skills
computer use automation, agentic AI systems, reinforcement learning for complex task completion, containerization technologies, large-scale data processing, scientific AI applications, long-horizon reasoning
Technologies
Docker, Kubernetes, VM/sandboxing
Responsibilities
Identify and remove bottlenecks preventing progress toward scientific AGI, Develop approaches to address long-horizon task completion and complex reasoning challenges, Scale research ideas from prototype to production, Create benchmarks and evaluation frameworks to measure model capabilities in scientific workflows, Implement distributed training systems and performance optimizations to support large-scale model development
Seniority
Staff, hands-on IC
