At Weights & Biases, our mission is to build the best developer tools for machine learning. Weights & Biases is a series C company with $200 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 Machine Learning Intern will partner closely with the ProductML team to prototype new machine learning workflows and visualization types in Weights & Biases, provide feedback on product features and showcase their findings via interactive Reports.
Project proposal requirement: Please submit a 1-page proposal of a project plan for your internship (8-10 weeks full time). Any project applying or advancing concepts in deep learning, machine learning, or data science is welcome. This proposal should include a clear research direction/topic(s), milestones, and strategy outline for your work, including the dataset(s), method(s), relevant existing work/repos, and core research questions you'd like to address/experiments you'd like to run. You should also include a description of how you will use Weights & Biases product features to achieve your goals. We're especially interested in projects focusing on recent research advances, new data visualizations/analysis features which would help our users, and concrete positive applications for the world (e.g. environmental sustainability, addressing algorithmic fairness & bias).
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.