At Weights & Biases, our mission is to build the best developer tools for AI developers. 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.

The Product Software Engineer will work on the Workspaces team. Thousands of Machine Learning Engineers use workspaces daily to monitor and understand their ML training runs. To learn more about what you’ll be working on, see an example workspace or try our tutorial (the colab notebook lets you try it out with no ML experience necessary to run) - we are proud of how simple the app is to get started using.

The workspaces team focuses on how to enable better analysis of the timeseries data generated by MLEs, and in this full stack but primarily backend role you’ll be working on the data pipeline that feeds this data to the frontend. We use technologies like BigTable and Parquet to allow our users to query their data, enabling them to compare the performance of tens of thousands of metrics across hundreds of thousands of runs with millions of data points.

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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