Engineering Manager, Weights & Biases
Artifacts/Registries
$194-266k
Plus equity
MLOps platform for developers
Job no longer available
MLOps platform for developers
201-500 employees
Job no longer available
$194-266k
Plus equity
201-500 employees
Company mission
Weights & Biases's mission is to build the best tools for machine learning.
Role
Who you are
- Proven experience (5+ years) in software engineering, with a strong background in building and delivering complex software products
- Previous experience (2+ years) in a leadership or managerial role, with a track record of effectively managing and growing engineering teams
- Previous experience building ML based products or building tools for ML teams
- Deep technical expertise in areas such as high performance computing, model deployment, and data management
- Excellent communication and interpersonal skills, with the ability to collaborate across functions and present technical information to non-technical stakeholders
What the job involves
- We are hiring an engineering manager to lead the development of our next-generation enterprise-grade model and data management product. In this role, you will be responsible for building and overseeing a team of talented engineers, guiding architectural decisions, and working closely with the product team to make sure we build the most critical features for our customers
- Collaborate with product managers, designers, and other stakeholders to define product requirements, scope, and milestones
- Drive the development of key product features, such as fine-grain access control mechanisms, workflow automations, and scaling performance limitations
- Provide technical guidance and mentorship to the team, ensuring high-quality code, architectural integrity, and scalability
- Work closely with customers to gather feedback, understand pain points, and iterate on the product roadmap
- Mentor and provide feedback to engineers on the team, fostering a culture of collaboration, innovation, and continuous learning
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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