At Weights & Biases, our mission is to build the best developer tools for machine learning. Weights & Biases is a series C company with $250 million in funding and a rapidly growing user base. Our platform is an essential piece of the daily work for machine learning engineers, from academic research institutions like FAIR and UC Berkeley to massive enterprise teams including iRobot, OpenAI, Toyota Research Institute, Samsung, NVIDIA, Salesforce, Blue Cross Blue Shield, Lyft, and more.

As a key member of our Identity Platform Engineering team, you will be responsible for the design, development, and maintenance of critical security features within our application's identity system. This includes implementing robust authentication, authorization, and access control systems that are scalable and maintain high performance to support our growing business needs.

The Identity team at Weights & Biases is dedicated to developing the foundational systems that guarantee secure, reliable access to our platform for hundreds of thousands of users. Understanding the critical importance of security for our users, we prioritize building features that not only enhance authentication and authorization experiences but also ensure the seamless and secure integration of our services. As we expand our capabilities, the team develops robust access control tools that empower other engineering teams to build new features and applications confidently.

Here are some key characteristics that will help you thrive in this role:

Outgoing and friendly: You'll love this role if you enjoy connecting with real users day to day, helping them solve issues and understanding good patterns for using our tools. Day to day you'll be answering questions and requests with a kind, thoughtful tone that makes users feel appreciated and connected to our team.

Autonomous: If you work well in a self-directed environment, and proactively find ways to improve processes and collaborate with team members or engaged users, your initiative will really shine in this role.

Curious and driven: Explore machine learning and learn more about the engineering stack and common ML workflows. Solve problems in both fast-paced, short-term sprints and in larger, more long-term projects.

Organized: A core part of engineering support at Weights & Biases is organizing feedback from many channels into a single, orderly stream. Your organization skills and time management will be key to running this process well.

We encourage you to apply even if your experience doesn't perfectly align with the job description as we seek out diverse and creative perspectives. Team members who love to learn and collaborate in an inclusive environment will flourish with us. We are an equal opportunity employer and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need additional accommodations to feel comfortable during your interview process, reach out at careers@wandb.com.

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