Software Engineer, Machine Learning Infrastructure

San Francisco /
Engineering /
Full-time
Company Description 

Adept is an ML research and product lab building general intelligence by enabling humans and computers to work together creatively. We’ve raised a $65M Series A from Greylock and Addition and several angel investors, and were recently highlighted by Fortune

Check out our demo and blog to see what the future holds.

Team Culture 

We're looking for team members who are energized by our ambitious mission and excited to join a fast-paced startup environment, working closely together in our new office in San Francisco.

About the role
In this role, you'll be responsible for building large-scale systems for machine learning from the ground up--these are critical to train and deploy large models reliably. You'll be responsible for building infrastructure for our training/serving framework, improving the efficiency of running experiments, and building scale-oriented tooling across multiple teams. You'll be working closely with other researchers and engineers to push the frontier of machine learning capabilities and deploying them for useful applications.

Qualifications

    • Extensive software design and engineering experience
    • Experience with designing and building large scale distributed systems, preferably for machine learning systems
    • Knowledge and experience with cloud infrastructure
    • Experience with machine learning frameworks and tools
Adept is an equal opportunity employer. We're excited about candidates who will raise the bar of our team, regardless of specific experiences -- we encourage applicants from a range of backgrounds to apply.