Software Engineer, Weights & Biases
SDK
MLOps platform for developers
Job no longer available
MLOps platform for developers
201-500 employees
Job no longer available
201-500 employees
Company mission
Weights & Biases's mission is to build the best tools for machine learning.
Role
Who you are
- 4+ years of professional software development experience
- Proficiency in Go, Python or Rust
- Communication and collaboration on cross-functional projects
- Creative problem-solving, and a willingness to dig into details
- Experience contributing to architecture and systems design
- Experience with ML frameworks such as PyTorch or TensorFlow
What the job involves
- The Machine Learning Software Engineer, reporting to the SDK Team Manager, will be responsible for building the software development kit (SDK) which helps our users accelerate their machine learning projects and build better models faster
- The role involves exploring the pain points experienced by Machine Learning Engineers who are building state-of-the-art models, designing solutions to address these issues, and implementing efficient and intuitive interfaces which integrate cleanly into the latest Machine Learning frameworks
- The role involves working at the intersection of software development, machine learning, and novel product development
- Collaborate with senior engineers to design and build a multi-platform / multi-language Machine Learning SDK in a public github repository
- Build out support for advanced machine learning workflows, such as distributed training
- Build, extend, and enhance a highly reliable and performant data ingest SDK
- Design thoughtful solutions to capture user issues in different client setups, and capture the pertinent info for debugging
- Creatively improve on current features, and seek out ways to simplify the API and streamline the user experience
- Improve CLI and SDK interfaces, implement new integrations with popular ML frameworks as they're released
- Keep up with the latest trends in the ML world and leverage existing tools and frameworks whenever necessary
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 at Welcome to the Jungle
Insights
31% employee growth in 12 months
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 HQ
SoMa, San Francisco, CA
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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