Research Engineer - Scalable RL Environments & Deployments

Bespoke Labs; Mountain View (CA); On-site; USD 120,000 - 140,000; Full time

Benefits offered by this job

Health coverage

Opportunity to work with leading AI labs

Competitive salary and equity

Job summary

An AI research lab is seeking a Research Engineer responsible for bridging advanced research with production-scale development of reinforcement learning environments. The ideal candidate will have a strong background in machine learning, specifically in reinforcement learning, and experience with Python and ML frameworks. This role demands effective collaboration with research teams and enterprise customers to design custom environments, ensuring the successful deployment of high-quality solutions.

Qualifications

• MS or PhD in Machine Learning, Computer Science, or equivalent industry research experience.
• Track record of research contributions, such as publications or open-source projects.
• Deep understanding of reinforcement learning and agent training.

Responsibilities

• Partner with frontier AI labs to understand agent training needs.
• Build scalable systems for creating and deploying RL environments.
• Work directly with enterprise customers on their agent training challenges.

Skills

Python expertise

Reinforcement learning knowledge

Machine Learning frameworks experience

Excellent communication skills

Systematic approach to QA

Education

MS or PhD in Machine Learning or related field

Tools

PyTorch

AWS

GCP

Job description

An AI research lab is seeking a Research Engineer responsible for bridging advanced research with production-scale development of reinforcement learning environments. The ideal candidate will have a strong background in machine learning, specifically in reinforcement learning, and experience with Python and ML frameworks. This role demands effective collaboration with research teams and enterprise customers to design custom environments, ensuring the successful deployment of high-quality solutions.