Software Engineer, Weights & Biases
Engineering Productivity
$177-245k
Plus equity
MLOps platform for developers
Job no longer available
MLOps platform for developers
201-500 employees
Job no longer available
$177-245k
Plus equity
201-500 employees
Company mission
Weights & Biases's mission is to build the best tools for machine learning.
Role
Who you are
- 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 (e.g. , Bazel, Jenkins, GitLab CI)
- Strong empathy for developers with a keen interest in understanding and addressing their challenges
- A self-driven attitude with a desire to find the path to greatest impact
- Strong interest in new technologies and a passion for staying abreast of the latest advancements in developer tools
- Excellent communication and collaboration skills
What the job involves
- As a Software Engineer in charge of engineering productivity, 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
- This is a brand new role, and as such you will have the opportunity to own the overall strategy, vision, and roadmap for how to boost engineering productivity
- Conduct user research with engineers to understand their needs and develop the roadmap for internal tools and systems
- Improve build safety and speed by optimizing existing build processes and implementing new tools and methodologies
- Ensure the reliability and availability of our Continuous Integration and build pipelines
- Develop and maintain solutions for both local and remote development environments
- Design and implement new tools for production and development deployments
- Leverage GenAI tools to enhance the engineering workflow, automating repetitive tasks and improving efficiency
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
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.
Share this job
View 9 more jobs at Weights & Biases