Developer-first MLOps platform.
deep learning • developer tools • machine learning • MLOps
July 6
🏡 Remote – Anywhere in California
Developer-first MLOps platform.
deep learning • developer tools • machine learning • MLOps
• Prioritize and execute on docs projects. Roll out new product docs, tutorials and guides, example scripts, generated reference docs, and rework existing content to keep it fresh, relevant, and engaging. • Use the product. Test the user workflows you are documenting, and build a deeper understanding of how our tools fit into the machine learning lifecycle. Run example scripts, and collaborate on new scripts to be included in guides. • Regularly aggregate feedback. Capture perspectives from external users and internal team members. Collaborate with Support, Customer Success, Growth, and internal ML Practitioners. • Advocate for clarity and concision. Define and maintain a style guide to make the docs consistent, direct, and simple.
• 3+ years writing technical docs. You’ve written API documentation for software developers, data scientists, or machine learning practitioners. • Python expertise. You’ll spend a lot of time in the code of the wandb library, using our Python SDK functionality to understand how products work for different use cases. • Scrappy mindset. You’ll be moving quickly to get updates into the docs, ship small incremental improvements continuously, and quickly measure the results of changes.
• Flexible time off • Medical, Dental, and Vision for employees and Family Coverage • Remote first culture with in-office flexibility in San Francisco • Home office budget with a new high-powered laptop • Truly competitive salary and equity • 12 weeks of Parental leave (U.S. specific) • 401(k) (U.S. specific) • Supplemental benefits may be available depending on your location • Explore benefits by country
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