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Cruise
San Francisco, CA, United States
We're Cruise, a self-driving service designed for the cities we love. We’re building the world’s most advanced self-driving vehicles to safely connect people to the places, things, and experiences they care about. We believe self-driving vehicles will help save lives, reshape cities, give back time in transit, and restore freedom of movement for m
Job Source: CruiseNiantic
San Francisco, CA, United States
Niantic's Engineering Team seeks a Software Engineer specialized in Machine Learning Engineering to build platforms that empower engineers and researchers to create innovative user experiences with the emerging Generative AI technologies. Our team powers capabilities across our games, geo-based, and AR platforms through productionizing large scale
Job Source: NianticSubstack
San Francisco, CA, United States
Overview As an ML engineer at Substack, you will play a crucial role in developing and implementing cutting-edge machine learning solutions to enhance our product offerings. You will be part of a dynamic team, collaborating closely with software engineers and data scientists, to bring machine learning models into our codebase and integrate them sea
Job Source: SubstackDashworks
San Francisco, CA, United States
About Dashworks Dashworks is an intelligent assistant designed to integrate with your workflow seamlessly. It connects with your work apps to instantly answer work-related questions, generate content, debug code, summarize emails and projects, find documents, and more. It's like having a copilot for work that's just one click away. We're on a pat
Job Source: DashworksWilliams-Sonoma
San Francisco, CA, United States
Job Description Software Engineer - Machine Learning About the Machine Learning Team At Williams-Sonoma, Inc., we are harnessing the power of data science, machine learning and predictive analytics to better understand the dynamic trends, patterns and anomalies of our business and customer behavior and leverage them to solve complex problems acr
Job Source: Williams-SonomaWhatnot
San Francisco, CA, United States
???? Whatnot Whatnot is a livestream shopping platform and marketplace backed by Andreessen Horowitz, Y Combinator, and CapitalG. We’re building the future of ecommerce, bringing together community, shopping and entertainment. We are committed to our values , and as a remote-first team, we operate out of hubs within the US, Canada, UK, and Germany
Job Source: WhatnotDashworks Inc
San Francisco, CA, United States
About Dashworks Dashworks is an intelligent assistant designed to integrate with your workflow seamlessly. It connects with your work apps to instantly answer work-related questions, generate content, debug code, summarize emails and projects, find documents, and more. It's like having a copilot for work that's just one click away. We're on a pat
Job Source: Dashworks IncWilliams-Sonoma
San Francisco, CA, United States
Software Engineer - Machine Learning About the Machine Learning Team At Williams-Sonoma, Inc., we are harnessing the power of data science, machine learning and predictive analytics to better understand the dynamic trends, patterns and anomalies of our business and customer behavior and leverage them to solve complex problems across the enterprise
Job Source: Williams-SonomaSan Francisco, CA, United States
About the Team
The Applied Engineering team works across research, engineering, product, and design to bring OpenAI's technology to consumers and businesses.
You'll join the team responsible for running the infrastructure that supports the models backing ChatGPT and the API. The systems we support include inference kubernetes clusters, GPU health, Infiniband performance, node lifecycle, and more.
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.
About the Role
The ML infrastructure team builds and maintains infrastructure abstractions allowing OpenAI to run models at scale.
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:
Design and build the inference platforms that power our products, enabling reliability and high performance at scale
Ensure our infrastructure can scale to the next order of magnitude
Help create a diverse, equitable, and inclusive culture that makes all feel welcome while enabling radical candor and the challenging of group think
Like all other teams, we are responsible for the reliability of the systems we build. This includes an on-call rotation to respond to critical incidents as needed.
You might thrive in this role if you:
Have 5+ years building core infrastructure
Have experience running inference clusters at scale
Have experience operating orchestration systems such as Kubernetes at scale
Take pride in building and operating scalable, reliable, secure systems
Are comfortable with ambiguity and rapid change
This role is exclusively based in our San Francisco HQ. We offer relocation assistance to new employees.
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.
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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Email Alert for Software Engineer, Machine Learning Compute jobs in San Francisco, CA, United States
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