Senior Technical Writer, Weights & Biases
Documentation
$124-175k
+ Equity
MLOps platform for developers
Open for applications
MLOps platform for developers
201-500 employees
Open for applications
$124-175k
+ Equity
201-500 employees
Company mission
Weights & Biases's mission is to build the best tools for machine learning.
Role
Who you are
- 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
- Love of tinkering: Play with the product, explore ML frameworks, and learn about the latest changes to the ML workflow as our industry evolved
- Customer focus: Think through how a machine learning practitioner would approach a problem, and tailor guidance to make docs accessible and familiar
- Autonomy: 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
What the job involves
- 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
- 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
Our take
Weights & Biases (W&B) builds development tools for machine learning, helping businesses to create and use deep learning models. In order for deep learning to work, it’s necessary for companies to be able to monitor how the models are behaving as they are trained. With over 200,000 customers, W&B has differentiated itself from its competitors such as IBM Watson Studio and Valohai by focusing exclusively on machine learning practitioners and not on sales aspects of the technology, and by its competitive pricing.
The company has also launched a product to help different parties collaborate on machine learning models. This is geared at researchers, reducing the need for them to rerun their training examples repeatedly. Over time, this will help to move machine learning technology forward. What's more, W&B's technology is free for personal and academic use, which has fueled adoption enormously, and it is now being used by research institutions such as UC Berkeley and enterpise companies like Samsung and Salesforce.
The dependence on machine learning is growing as more and more companies begin to use artificial intelligence to handle business tasks, so demand for this sort of software is rising. Having raised substantial funding, W&B is moving to futher develop its product, grow its team and increase its marketing reach.
Steph
Company Specialist
Insights
Company
Funding (last 2 of 5 rounds)
Aug 2023
$50m
LATE VC
Oct 2021
$135m
SERIES C
Total funding: $250m
Company benefits
- 🏝️ Unlimited vacation time
- 🩺 100% Medical, Dental, and Vision for employees and Family Coverage
- 🏠 Remote first culture with in-office flexibility in San Francisco
- 💵 $500 home office budget with new high-powered laptop
- 🥇 Truly competitive salary and equity
- 🚼 12 weeks of Parental leave
- 📈 401(k)
Company values
- We're building a culture where people love coming to work to build cool things and collaborate with other smart people
- It’s important to us that everyone feels comfortable being themselves and being honest with each other, and all of us take responsibility for making our customers successful
- We love to work with people who are driven, kind and proactive
- We care about diversity and if you are part of an underrepresented minority, we especially encourage you to apply to work here
- We are contributing to responsible AI with tools for transparency and reproducibility in model development and deployment
Company HQ
SoMa, San Francisco, CA
Articles
Leadership
Chris Van Pelt
(CISO)Earned a BA in Computer Science at Hope College. Previously Lead Engineer and Founder of Figure Eight (acquired by Appen).
Lukas Biewald
(CEO)Earned a BS in Mathematics and MS in Computer Science from Stanford University. Previously Research Scientist and Founder, CEO of Figure Eight (acquired by Appen).
Shawn Lewis
(CTO)Earned his BS in Computer Engineering at Virginia Tech. Previously Engineer at Google and Founder at Beep Networks.
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