AI Engineer, Weights & Biases
$182-248k
+ Equity
MLOps platform for developers
Job no longer available
MLOps platform for developers
201-500 employees
Job no longer available
$182-248k
+ Equity
201-500 employees
Company mission
Weights & Biases's mission is to build the best tools for machine learning.
Role
Who you are
- Located in the San Francisco Bay Area
- 3+ years of industry experience in software engineering or machine learning engineering in a production environment
- Experience building GenAI-powered tools for industry use or as personal side projects
- Proven track record of writing blog posts and/ or social media threads that explore and push the limits of LLM systems, ideally with GitHub code examples
- A curious and open mindset, with a willingness to experiment, learn, and iterate quickly
- High agency and the ability to work autonomously in the dynamic environment of a fast-growing startup
- A proactive, kind, and collaborative mindset
Desirable
- 5+ years of industry experience
- Experience pre-training / fine-tuning LLMs at the 1b+ scale or training / fine-tuning multi-modal models like stable diffusion etc
- Experience working in a developer tools company
- Have attended 3+ San Francisco hackathons in the past 12 months
What the job involves
- Actively engage with the developer community in San Francisco by organizing and attending GenAI-focused events and hackathons
- Develop both internal and external GenAI-powered tools to demonstrate the capabilities of Weave
- Create compelling GenAI blog posts and code examples to highlight Weave’s potential to a global audience
- Contribute to the development and maintenance of our open-source Weave integrations
- Help build and maintain our open source Weave integrations
- Engage with the developer community on social media and discord
- Collaborate closely with our Product team, providing feedback and testing new Weave features
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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