💰 $245,000 - $370,000 🌍 San Francisco, California, United States 📅 06/15/2023
**About the Team**
The Applied AI team safely brings OpenAI's technology to the world. We
released ChatGPT, Plugins, DALL·E, and the APIs for GPT-4, GPT-3, embeddings,
and fine-tuning. We also operate inference infrastructure at scale. There's a
lot more on the immediate horizon.
We seek to learn from deployment and distribute the benefits of AI, while
ensuring that this powerful tool is used responsibly and safely. Safety is
more important to us than unfettered growth.
We serve end-users directly through ChatGPT, and serve developers through our
APIs, which power product features that were never before possible.
**About the Role**
Model inference at OpenAI is powered through a single service we call our
"Engine". The Engine wraps the PyTorch transformers which are GPT-4 and
ChatGPT. We are looking for an engineering manager to help lead some of the
critical work for this service and grow the team.
**In this role, you will:**
* Own substantial portions of our inference stack
* Ensure we have the ability to run GPT-4, ChatGPT, and future models at increasingly high scale with increasing efficiency
* Hire world-class AI systems engineers in one of the most competitive hiring markets
* Coordinate the inference needs of OpenAI's teams and products
* Create a diverse, equitable, and inclusive culture that makes all feel welcome while enabling radical candor and the challenging of group think
**You might thrive in this role if you:**
* Have 3+ years of experience in engineering management and 7+ years as an IC working with high scale distributed systems and ML systems.
* Have experience with ML systems, particularly high scale distributed inference for modern LLMs.
* Have experience with highly available, reliable, production grade systems at scale
* Have familiarity with the latest AI research and working knowledge of how these systems are efficiently implemented
* Care deeply about diversity, equity, and inclusion, and have a track record of building inclusive teams
* Have experience closing extremely competitive candidates for your team, and the ability to craft and convey compelling visions of the future
* Have a voracious and intrinsic desire to learn and fill in missing skills—and an equally strong talent for sharing learnings clearly and concisely with others
* Are comfortable with ambiguity and rapidly changing conditions. You view changes as an opportunity to add structure and order when necessary
As technical context: at the heart of our infrastructure is a large-scale
deployment of GPU nodes running in dozens of Kubernetes clusters across
regions. Some core technologies we build with include Python, PyTorch, CUDA,
Triton, Redis, Infiniband, NCCL, NVLink
This role is exclusively based in our San Francisco HQ. We offer relocation
assistance to new employees.
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](https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241).
[OpenAI US Applicant Privacy Policy](https://cdn.openai.com/policies/u-s-
employee-and-contractor-privacy-policy.pdf)
OpenAI focuses on Artificial Intelligence, Online Gaming, and Non Profit.
Their company has offices in San Francisco. They have a large team that's
between 201-500 employees. To date, OpenAI has raised $11B of funding; their
latest round was closed on February 2023.
You can view their website at <https://www.openai.com/> or find them on
[Twitter](http://twitter.com/openai) and
[LinkedIn](https://www.linkedin.com/company/openai/).
