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.
You will collaborate with Data Scientists, Machine Learning Engineers, and Product Engineers to understand our business through data and analytics. Through this role you will have frequent opportunities to partner with decision-makers across the business to perform key analysis, build robust reporting, and unblock the business by answering questions via our data. Data Science at W&B is a pillar of the product, business, and culture; as such the Data Science team informs strategy directly, and partners with all parts of the business to build a data-first habit.
$99,000 - $128,000 a year
The US base pay for this position ranges from $99,000 USD per year in our lowest geographic market up to $128,000 USD per year in our highest geographic market. Weights & Biases is committed to providing competitive salary, equity and benefits packages for all full-time employees. Individual compensation will be commensurate with the candidate's experience, qualifications, and geographic location.
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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