Senior Software Engineer, Weights & Biases
Models
$177-245k
+ Equity
MLOps platform for developers
Open for applications
MLOps platform for developers
201-500 employees
Open for applications
$177-245k
+ Equity
201-500 employees
Company mission
Weights & Biases's mission is to build the best tools for machine learning.
Role
Who you are
- Multiple years in Full-stack engineering, building and maintaining user facing products. Experience with time series data and data visualizations is a plus
- Advanced proficiency in modern web technologies such as React, Typescript
- Strong software engineering fundamentals and knowledge of at least 1 modern programming language (Java, Go, Python, C++, etc)
- Experience building high quality products end to end - technical design, implementation, testing, and launch
- An ability to navigate ambiguity and reach a clear understanding of problems affecting our users
- An ability to build features based on complex requirements stated in user terms, either from users directly, or from our product/customer support organizations
- Interest in the AI/ML space, and a desire to continue to learn
What the job involves
- Reporting to an Engineering Manager, the Product Software Engineer will work on the Models team
- The teams in our Models Engineering organization primarily work on features that enhance and centralize the machine learning development workflow for our users
- Engineers in this role will be directly working with customers and other engineering teams to build products and customer experiences that will continue to enable the acceleration of machine learning model development
- Lead new product initiatives that help our customers (ML engineers) collaborate and share information
- Collaborate with other developers on complex technical and performance challenges
- Find ways to make the developers on the team more productive
- Focus on our end users and listen to customer feedback in order to improve our product, either by working directly with customers, or with our team of customer support personnel, designers and PMs
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
Founders
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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