At Weights & Biases, our mission is to build the best tools for AI developers. We founded our company on the insight that while there were excellent tools for developers to build better code, there were no similarly great tools to help ML practitioners build better models. Starting with our first experiment tracking product, we have since expanded our solution into a comprehensive AI developer platform for organizations focused on building their own deep learning models and generative AI applications.
Weights & Biases is a Series C company with $250M in funding and over 200 employees. We proudly serve over 1,000 customers and more than 30 foundation model builders including customers such as OpenAI, NVIDIA, Microsoft, and Toyota.
We're hiring a Senior Customer Sales Machine Learning Engineer to lead the technical engagement and success of our federal and public sector clients. Reporting to the Head of Field Engineering and partnering closely with our Head of Federal, this role will be highly visible and critical to the growth of Weights & Biases’ burgeoning public sector practice. In this role, you will lead pre- and post-sales motions, working closely with federal machine learning (ML) teams to tackle critical, real-world challenges across computer vision, NLP, robotics, and help government clients understand how Weights & Biases can help with evolving AI assurance requirements.
You’ll play a central role in helping prospective clients evaluate and implement Weights & Biases, guiding them from initial demo to full deployment and customer success. Additionally, you’ll serve as a government vertical’s technical GTM representative for government needs internally across Product and Engineering teams, including but not limited to coordinating the support of post-sale technical and implementation requirements aligned with government standards.
We encourage you to apply even if your experience doesn't perfectly align with the job description as we seek out diverse and creative perspectives. Team members who love to learn and collaborate in an inclusive environment will flourish with us. We are an equal opportunity employer and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need additional accommodations to feel comfortable during your interview process, reach out at
[email protected].
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