ApplyBlast uses AI to match you with the right jobs, tailor your resume and cover letter, and apply automatically so you can land your dream job faster.

Features

Auto Apply Resume Optimizer Cover Letter Optimizer Interview Prep

Company

Social Media

Need Help?

team@applyblast.com

Infrastructure Research Engineer at Thinking Machines Lab - ApplyBlast

Infrastructure Research Engineer

Thinking Machines Lab

13 days ago

San Francisco, California, United States

Onsite

Full Time

Senior

0 applicants

View Job Listing

Apply to 100+ jobs

About this role

Thinking Machines is seeking an infrastructure research engineer to design and build core systems for scalable, efficient training of large models through reinforcement learning. This role bridges research and large-scale systems engineering, focusing on optimizing rollout and reward pipelines while enhancing reliability and observability. The position involves collaborating with researchers and infrastructure teams to make reinforcement learning stable, fast, and production-ready.

Responsibilities

Design and optimize infrastructure for large-scale reinforcement learning workloads
Improve reliability and scalability of distributed RL training pipelines
Develop monitoring and observability tools for high uptime and debuggability

Skills

Qualifications

Bachelor's degree in computer science, electrical engineering, statistics, machine learning, physics, robotics, or similar

About Thinking Machines Lab

thinkingmachines.ai

Headquarters

San Francisco, California, United States

Company Size

1-10 employees

View Profile

Thinking Machines Lab is an artificial intelligence research and product company focused on making advanced AI systems more widely understood, customizable, and generally capable. They aim to close gaps between rapidly advancing capabilities and the scientific/public understanding of how these systems are trained and used. Through research, public-facing writing (the Connectionism blog), and products such as their recently introduced Tinker, they build tools and knowledge to help people and organizations tailor AI to their needs and values.