AI Engineer, Weights & Biases
GenAI Enterprise Accelerator
$182-248k
Offers equity and ESPP
âMLOps platform for developers
Be an early applicant
âMLOps platform for developers
201-500 employees
Be an early applicant
$182-248k
Offers equity and ESPP
201-500 employees
Company mission
Weights & Biases's mission is to build the best tools for machine learning.
Role
Who you are
- Based in the San Francisco Bay Area. This role will be hybrid with occasional travel to meet with customers
- 3-5 years of relevant experience in similar roles, ideally working with enterprise clients or on large-scale machine learning projects
- Strong experience with Python and JavaScript, and a track record of success working with enterprise clients to solve technical challenges
- Excellent communication skills, with the ability to explain complex technical concepts clearly to both technical and non-technical stakeholders
- Experience working in cloud environments (AWS, GCP, Azure) and knowledge of Linux/Unix systems
- Expertise with Transformers, PyTorch, Numpy, and Pandas, alongside strong software development best practices
- Experience with new LLM/AI tools (Llamaindex, Copilot/Cursor, vector databases, Langchain, instructor, outlines, ...) and techniques
- Experience with version control systems like Git, automated testing, and CI/CD pipelines
- Demonstrated experience building AI apps in production
- A strong drive to stay ahead of the curve with GenAI research and apply those insights to help enterprises build real-world applications
What the job involves
- We are looking for an AI Engineer who is ready to help some of the worldâs top enterprises integrate GenAI into their operations
- In this role, you will work directly with advanced software and ML teams, helping them deploy large-scale GenAI solutions that drive real business outcomes
- You'll be hands-on, solving complex, real-world problems with Generative AI, and playing a key role in transforming how these enterprises operate
- As part of the GenAI Enterprise Accelerator program, youâll work with top-tier companies who are at the beginning of their GenAI journey
- Youâll be at the forefront of this shift, directly supporting enterprises in adopting and scaling GenAI technologies
- Your role will be to guide teams through the practical aspects of implementing LLMs and ensure they are getting the most out of Weights & Biasesâ tools to enhance their AI capabilities
- Lead GenAI Implementations: Design, build, and optimize GenAI pipelines for enterprise clients, helping them integrate W&B tools to unlock the full potential of LLMs in their operations
- Hands-On Problem Solving: Partner with teams to understand their challenges and deliver technical solutions that meet their specific needs while navigating the complexities of productionizing GenAI
- Guide GenAI Adoption: Serve as a key advisor to help companies successfully implement GenAI at scale, ensuring smooth onboarding and continued success through W&B best practices
- Stay on the Cutting Edge: Keep up with the latest advancements in GenAI, bringing that knowledge to bear as you help enterprises push the boundaries of whatâs possible with AI
- Customer-Centric Development: Provide continuous feedback to W&Bâs product team, influencing the development of features based on real customer needs, challenges, and successes
- Develop Scalable AI Systems: Collaborate with customers to design robust, scalable systems that leverage LLMs, from proof of concept through full production deployment
- Youâll be working directly with some of the most advanced enterprises, helping them adopt and scale GenAI in high-impact, real-world applications
- Youâll be at the cutting edge of GenAI, working on projects that will shape how companies across industries use AI to solve their most critical problems
- Your work will directly influence the product roadmap for W&Bâs GenAI tools, making you a key contributor to both customer success and product development
- Youâll gain exposure to diverse industries, solving unique and complex challenges in every engagement
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, itâs 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
- đïž Unlimited vacation time
- đ©ș 100% Medical, Dental, and Vision for employees and Family Coverage
- đ Remote first culture with in-office flexibility in San Francisco
- đ” $500 home office budget with new high-powered laptop
- đ„ Truly competitive salary and equity
- đŒ 12 weeks of Parental leave
- đ 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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