Senior Software Engineer, Weights & Biases
Workspaces
$177-245k
+ Equity
MLOps platform for developers
Be an early applicant
MLOps platform for developers
201-500 employees
Be an early applicant
$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
- 5+ years of software engineering experience, with 3+ years leading significant technical initiatives or architectural changes
- Strong proficiency in Python
- Proficiency in at least one compiled language (C++, C, C#, Go), with Go experience being a significant bonus
- Experience with GraphQL APIs, query optimization, and data fetching strategies
- Experience with React & Typescript
- Demonstrated success in improving the performance and maintainability of complex web applications
- Comfort diving into complex systems to diagnose pain points and solve difficult bugs across the full stack
- Exceptional communication skills with ability to explain complex technical concepts to various audiences
What the job involves
- Reporting to the Engineering Manager for Workspaces, this Senior/Staff Software Engineer will lead the technical planning, implementation, and delivery of key features within the Models product—our central hub for experiment tracking and visualization
- In this role, you'll work closely with product managers, designers, platform engineers, and fellow engineers to scale the performance & reliability of the application while meeting the growing demands of ML teams
- Build out features for our Models product that allow ML engineers to track, visualize and analyze data for their experiments
- Collaborate with a team of 2-4 Software Engineers to navigate complex technical challenges, elevating the team’s ability to design robust APIs, and implement backend changes, and think critically about scalability
- Collaborate with product and design to translate complex user requirements into elegant technical implementations
- Identify and refactor areas of technical debt, improving code maintainability, developer productivity and application performance
- Work cross-functionally to establish engineering patterns and best practices that balance immediate feature delivery with long-term platform health
- Break down work into iterative, incremental changes, leveraging agile methodologies to ship fast and gather user feedback early and often
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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