At Weights & Biases, our mission is to build the best developer tools for AI developers. Weights & Biases is a series C company with $250 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.
As a software engineer on the Engineering Productivity team, you’ll build and maintain the key tools and systems that the engineering team uses to build Weights & Biases. You’ll partner closely with engineers around the organization to understand our various development workflows and brainstorm improvements. You know what a great developer experience looks like, and won’t stop until things actually work.
Responsibilities
- Conduct user research with engineers and develop the roadmap for internal tools and systems.
- Improve build safety and speed.
- Ensure the reliability and availability of our Continuous Integration and build pipelines.
- Build solutions for local and remote development.
- Design and implement new tools for production and development deployments.
- Leverage GenAI tools to enhance the engineering workflow.
What we're looking for (Requirements)
- A degree in Computer Science, or equivalent experience / qualification.
- 4+ years of experience in software engineering, including at least 1 year of experience building tools for developers.
- Deep knowledge of build systems.
- Strong empathy for developers with a keen interest in understanding and addressing their challenges.
- A desire to be self-driven and find the path to greatest impact.
- Strong interest in new technologies and a passion for staying abreast of the latest advancements in developer tools.
- Experience with Javascript, golang, and github
Why join us?
- Top-tier machine learning teams rely on our tools for their daily work at companies including OpenAI, Toyota Research Institute, Lyft, Samsung, and Pandora.
- You'll never stop learning. This role gives you first-hand experience talking with leading researchers in the field, understanding their problems, and directly shaping the product direction.
- Our experienced founding team has successfully built and sold ML tools in the past at Figure Eight. Their deep knowledge of our industry, empathy for our users, and skillful management is driving W&B to success.
- Customers genuinely benefit from our tool. Here's a quote from Wojciech Zaremba, Cofounder and Robotics Lead, OpenAI: "W&B allows to scale up insights from a single researcher to the entire team, and from a single machine to hundreds of them."
- Join a collaborative and innovative work environment with opportunities for professional growth and development.
Our Benefits
- 🏝️ 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
Top Skills
What We Do
Weights & Biases helps machine learning teams build better models faster. With a few lines of code, practitioners can instantly debug, compare and reproduce their models — architecture, hyperparameters, git commits, model weights, GPU usage, and even datasets and predictions — and collaborate with their teammates.
