Graph Compiler Engineer

Key Skills

GPUs, Machine learning techniques, Optimization, Python Programming

Job Description

About the Team

The Platform ML team builds the ML side of our state-of-the-art internal training framework used to train our cutting-edge models. We work on distributed model execution as well as the interfaces and implementation for model code, training, and inference. Our priorities are to maximize training throughput (how quickly we can train a new model) and researcher throughput (how quickly we can develop new models) with the goal of accelerating progress towards AGI. We frequently collaborate with other teams to speed up the development of new capabilities.

About the Role

As a Graph Compiler Engineer you will work on the capture and optimization of model graphs for our training runs. Seamless graph capture is important for keeping researcher throughput high, while graph-level optimizations will allow us to get state-of-the-art training throughput on current and future accelerators.

We’re looking for engineers who are excited to work on our training framework and with researchers at the cutting edge of ML research. Given the scale of our training, small improvements to hardware utilization for our largest runs can produce large cost savings. Enabling researchers to iterate quickly on their ideas will produce large improvements in model capabilities and compute efficiency.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

• Work on our internal training framework to enable easy graph capture of our research experiments
• Apply advanced optimizations to the graph to maximally utilize hardware resources

You might thrive in this role if you:

• Have strong software engineering skills and are proficient in Python
• Have experience running machine learning experiments
• Have experience working on a machine learning compiler
• Have deep knowledge of GPU performance and systems-level optimization

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records. 

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

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Compensation, Benefits and Perks

Total compensation also includes generous equity and benefits.

• Medical, dental, and vision insurance for you and your family
• Mental health and wellness support
• 401(k) plan with 4% matching
• Unlimited time off and 18+ company holidays per year
• Paid parental leave (20 weeks) and family-planning support
• Annual learning & development stipend ($1,500 per year)

Annual Salary Range

$245,000—$385,000 USD