Software Engineer, Weights & Biases
Workspaces, Weights & Biases
$120-160k
MLOps platform for developers
Be an early applicant
MLOps platform for developers
201-500 employees
Be an early applicant
$120-160k
201-500 employees
Company mission
Weights & Biases's mission is to build the best tools for machine learning.
Role
Who you are
- 1-3 years of experience building and maintaining user-facing web applications (through internships, academic projects, or early career roles); exposure to data visualization or time series data is a plus
- Familiarity with modern web development tools and frameworks, such as React, TypeScript, GraphQL
- Solid understanding of programming fundamentals and experience with at least one modern language (e.g., Go, Python, C++, Java, Javascript)
- Enthusiasm for learning how to build reliable, high-quality software through hands-on experience, mentorship, and feedback
- Curiosity and persistence in understanding ambiguous problems and exploring potential solutions with a tendency towards action
- Ability to work with product and customer-facing teams to translate user feedback into technical solutions
- Interest in the AI/ML space and motivation to grow in a fast-paced, mission-driven environment
- The Colab notebook requires no prior ML experience to run, and we’re proud of how easy it is to get started
- This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process
What the job involves
- Reporting to the Engineering Manager for Workspaces, you’ll join a collaborative team responsible for delivering end-to-end product features within our Models product—the central hub for experiment tracking and visualization
- Thousands of Machine Learning Engineers rely on our tools every day to monitor and understand their ML training runs
- This role sits within our Models Engineering organization, where we focus on building features that streamline and centralize the machine learning development workflow
- As a Product Software Engineer, you’ll work directly with customers and cross-functional teams to build experiences that accelerate ML model development
- Contribute to new product initiatives that help our customers (ML engineers) analyze and share information
- Work closely with senior developers to tackle technical challenges and improve system performance
- Help improve team productivity by sharing ideas, improving documentation, or streamlining development workflows
- Collaborate with designers, product managers, and customer support to understand user needs and improve the product based on feedback
- Participate in code reviews, team discussions, and sprint planning to grow your skills and contribute to team goals
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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