Infrastructure Research Engineer - Large-Scale RL Systems

Thinkingmachines; San Francisco (CA); On-site; USD 350,000 - 475,000; Full time

Benefits offered by this job

Health, dental, and vision benefits

Unlimited PTO

Paid parental leave

Relocation support

Job summary

Thinking Machines in San Francisco is seeking an infrastructure research engineer to design and build scalable systems for training large models using reinforcement learning. This role combines research and engineering, requiring strong collaborative skills and coding expertise.

Applicants should have a Bachelor's degree and strong engineering skills, with a competitive salary range of $350,000 to $475,000. Benefits include unlimited PTO and health coverage.

Qualifications

• Bachelor’s degree or equivalent experience in a relevant field.
• Strong engineering skills for complex coding and debugging.
• Understanding of deep learning frameworks architecture.

Responsibilities

• Design and optimize infrastructure for large-scale reinforcement learning.
• Improve reliability and scalability of RL training pipelines.
• Collaborate with researchers to implement algorithmic ideas.

Skills

Engineering skills

Deep learning frameworks

Collaborative environment

Initiative and action

Education

Bachelor’s degree in Computer Science or equivalent

Tools

Pytorch

Kubernetes

Grafana

Job description

Thinking Machines in San Francisco is seeking an infrastructure research engineer to design and build scalable systems for training large models using reinforcement learning. This role combines research and engineering, requiring strong collaborative skills and coding expertise.

Applicants should have a Bachelor's degree and strong engineering skills, with a competitive salary range of $350,000 to $475,000. Benefits include unlimited PTO and health coverage.