ML Infrastructure Engineer
About the Team
The Runtime team builds the low level framework components to power our ML training systems. We work on building robust, scalable, high performance components to support our distributed training workloads. Our priorities are to maximize the productivity of our researchers and our hardware, with the goal of accelerating progress towards AGI.
About the Role
As a ML Infrastructure Engineer, you will work on improving the training throughput for our internal training framework, while enabling researchers to experiment with new ideas. This requires good engineering (for example designing, implementing, and optimizing state-of-the-art AI models), writing bug-free machine learning code (surprisingly difficult!), and acquiring deep knowledge of the performance of supercomputers. In all the projects this role pursues, the ultimate goal is to push the field forward.
We’re looking for people who love optimizing performance, understanding distributed systems, and who cannot stand having bugs in their code. Since our training framework is used for large runs with massive numbers of GPUs, performance improvements here will have a large impact.
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:
Apply the latest techniques in our internal training framework to achieve impressive hardware efficiency for our training runs
Profile and optimize our training framework
Work with researchers to enable them to develop the next generation of models
You might thrive in this role if you:
Have run small scale ML experiments
Love figuring out how systems work and continuously come up with ideas for how to make them faster while minimizing complexity and maintenance burden
Have strong software engineering skills and are proficient in Python
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
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.
OpenAI Affirmative Action and Equal Employment Opportunity Policy Statement
For US Based Candidates: 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.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
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Are you an innovative problem-solver looking to make a real impact in the world of artificial intelligence? At OpenAI, we are on the lookout for a passionate ML Infrastructure Engineer to join our Runtime team in San Francisco. Our team is dedicated to building the foundational components that power our machine learning training systems. In this role, you'll be at the forefront of enhancing training throughput within our internal framework while enabling researchers to test their groundbreaking ideas. You'll need to demonstrate strong engineering skills, as you'll be designing, implementing, and optimizing state-of-the-art AI models. Writing efficient, bug-free machine learning code is paramount, and your deep understanding of supercomputer performance will be invaluable. The projects you lead will not only push the boundaries of AI research but will also significantly impact the productivity of our researchers and the efficiency of our hardware. If you’re excited about optimizing performance, diving into distributed systems, and are driven by a desire to eliminate bugs, we want you to bring your unique skills to OpenAI. You will be part of a hybrid work model and enjoy our supportive transition process if you are relocating. Join us and help shape the future of AI while making a positive impact on humanity!
OpenAI is a US based, private research laboratory that aims to develop and direct AI. It is one of the leading Artifical Intellgence organizations and has developed several large AI language models including ChatGPT.
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