Senior Technical Writer - Weights & Biases, Models

Reporting to the Director of Product, as a Senior Technical Writer you will join the Docs Team to write documentation for W&B’s machine learning developer tools.

You will partner closely with Product and Engineering to document product updates and try new functionality to build subject-matter expertise. Collaborate with Growth and Sales to drive updates on what features are most in demand for additional context and documentation.

What You’ll Do:

• 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.

Who You Are: 

• 5+ years writing technical docs. You’ve written API and product documentation for software developers, data scientists, or machine learning practitioners as your primary job for at least a decade.
• Scripting expertise. You’ll spend a lot of time in the code our repo libraries (examples: the wandb library and weave library), using our Python SDK functionality to understand how products work for different use cases. You’ll use your automation skills to generate documentation solutions, including API use to call LLMs or download data for transformation into docs.
• ML experience: You’ve are familiar with training workflows and used common ML tools and frameworks such as PyTorch, Keras, Tensorflow, and Scikit-learn.

Preferred: 

• Experience using AI at work. Ideal candidates will have experience using generative AI to assist with documentation engineering, interfacing with the APIs of LLM providers, and optimizing their solution through testing. 

Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk. 

• 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.
• Ownership mindset: Ability to own large-scoped projects that involve multiple stakeholders. Experience creating and documenting best practices for our team.
• Outgoing and friendly: You'll love this role if you enjoy connecting with real users day to day, helping them solve issues and understand 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. 

Why Us?

We work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

The base pay and target total cash for this position range from $143,000  to $210,000 accordingly. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. This position includes a discretionary bonus, equity, and a comprehensive benefits package.