Senior Software Engineer, Weights & Biases
Registry, Weights & Biases
$165-220k
+ Discretionary bonus, ESPP and equity awards
More information about location
MLOps platform for developers
Be an early applicant
MLOps platform for developers
201-500 employees
Be an early applicant
$165-220k
+ Discretionary bonus, ESPP and equity awards
More information about location
201-500 employees
Company mission
Weights & Biases's mission is to build the best tools for machine learning.
Role
Who you are
- 7+ years of software engineering experience, with 3+ years leading significant technical initiatives or architectural changes
- Strong proficiency in Python
- Strong proficiency in at least one compiled language (C++, C, C#, Go), with Go experience being a significant bonus
- Expert-level TypeScript knowledge with demonstrated ability to implement deep frontend optimizations and complex state management
- Advanced experience with GraphQL APIs, query optimization, and sophisticated data fetching strategies
- Demonstrated success improving performance and maintainability of complex web applications
- Track record of mentoring engineers and elevating team capabilities through technical leadership
- Comfort diving into complex systems to diagnose and solve difficult bugs across the full stack
- Exceptional communication skills with ability to explain complex technical concepts to various audiences
- 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, this Senior/Staff Software Engineer - Registry Platform will own the technical architecture and evolution of our Registry product
- This role will lead the critical transition from our legacy Model Registry to a scalable, organization-wide Global Registry platform, while also architecting for a future that supports the extensive needs of large foundation model builders and customers focused on ML model fine-tuning, compliance, system-of-record requirements, and comprehensive monitoring capabilities
- This Senior/Staff Software Engineer will partner closely with product managers, ML platform engineers, and the design team to build and implement a robust, performant registry system that meets the growing demands of enterprise ML teams while maintaining a seamless user experience during the transition
- Lead the architectural transformation of our Registry platform, designing systems that scale to support millions/billions of artifacts for our customers
- Dive deep into system architecture to uncover optimization opportunities, solve complex bugs, and make difficult technical decisions that balance short-term fixes with long-term platform health
- Identify and refactor areas of technical debt, improving code maintainability and developer productivity
- Mentor a team of 3-4 Software Engineers through complex technical challenges, elevating their capabilities through code reviews and design guidance
- Establish engineering patterns and best practices that balance immediate feature delivery with long-term platform health
- Collaborate with product and design to translate complex user requirements into elegant technical implementations
- Interface directly with customers to understand their ML workflow challenges, gathering feedback and incorporating it into the product development cycle
- Practice agile methodologies with users at the center, maintaining a closed feedback loop from customer need to technical implementation to validation
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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