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OpenAI
Backend Engineer
at OpenAI
3 months ago | 311 views | 3 applications

Backend Engineer

Full-time
San Francisco
Per year
$245,000 To $310,000

About the company

OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. Our Communications team is composed of PR/Media Relations, Events, Design, and other external-facing functions. The team’s ethos is to support OpenAI's mission and goals by clearly and authentically explaining our technology, values, and approach to safely building powerful AI. The Events team is a dynamic group dedicated to crafting extraordinary experiences that encompass our company's values and mission. Our team is driven by a passion for bringing people together to connect in meaningful ways.

Job Summary

In this role, you will:

📍Architect, build, and design our tooling, infra, 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

You might thrive in this role if you:

📍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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