- Architect, build, and design our tooling, products, and evals that power our data generation and management platform, including the feedback mechanisms in products like ChatGPT, along with interfaces viewed by AI trainers.
- Collaborate closely with product managers, researchers, and the rest of our engineering team to create new products around emerging research capabilities and unsolved customer needs
- Iterate rapidly to improve user and developer experience while advancing scalability, performance, observability, and security
- Have meaningful experience with building (and rebuilding) production systems to deliver new product capabilities and to handle increasing scale
- Care deeply about the end user experience and take pride in building products to solve customer needs
- Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed
- Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done
- Build tools to accelerate your own (and your teammates') workflows, but only when off-the-shelf solutions won't do
- Are interested in and thoughtful about the impacts of AI technology (see our Charter for examples of our goals) and care deeply about the impact of ML models on people's lives; how to maximize the benefits and mitigate the possible harms.
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- Mental health and wellness support
- 401(k) plan with 50% 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)
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Frontend Engineer - San Francisco, United States - OpenAI
Description
About the Team
OpenAI's Evals & Understanding Team is responsible for evaluating OpenAI's models based on performance and safety. The team provides metrics and eval frameworks to allow researchers to understand the safety, efficacy, and performance of models as they're developed. Products like ChatGPT, Dall-E, plugins, browsing, code interpreter, GPT-V rely on both human and synthetic data, as well as model-based experimentation to evaluate success.
Our team builds and deploys the products and experiences necessary to evaluate, debug, and understand our models scale with data from a variety of sources and builds the ML operations, data management tooling, quality and eval systems, model experimentation and insights tools that are leveraged to improve overall AI models.
About the Role
In this role, you will:
You might thrive in this role if you:
Compensation, Benefits and Perks
Total compensation also includes generous equity and benefits.
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.
