CoreWeave, the AI Hyperscaler™, acquired Weights & Biases to create the most powerful end-to-end platform to develop, deploy, and iterate AI faster. Since 2017, CoreWeave has operated a growing footprint of data centers covering every region of the US and across Europe, and was ranked as one of the TIME100 most influential companies of 2024. By bringing together CoreWeave’s industry-leading cloud infrastructure with the best-in-class tools AI practitioners know and love from Weights & Biases, we’re setting a new standard for how AI is built, trained, and scaled.

The integration of our teams and technologies is accelerating our shared mission: to empower developers with the tools and infrastructure they need to push the boundaries of what AI can do. From experiment tracking and model optimization to high-performance training clusters, agent building, and inference at scale, we’re combining forces to serve the full AI lifecycle — all in one seamless platform.

Weights & Biases has long been trusted by over 1,500 organizations — including AstraZeneca, Canva, Cohere, OpenAI, Meta, Snowflake, Square,Toyota, and Wayve — to build better models, AI agents and applications. Now, as part of CoreWeave, that impact is amplified across a broader ecosystem of AI innovators, researchers, and enterprises.

As we unite under one vision, we’re looking for bold thinkers and agile builders who are excited to shape the future of AI alongside us. If you're passionate about solving complex problems at the intersection of software, hardware, and AI, there's never been a more exciting time to join our team.

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? About 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.

What We Offer The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location.

In addition to a competitive salary, we offer a variety of benefits to support your needs, including:

Our Workplace While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration

California Consumer Privacy Act - California applicants only

CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C.

• 1157, or (iv) asylee under 8 U.S.C.
• 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.