Senior reputed company Machine Learning Engineer

Description: • At Weights & Biases, our mission is to build the best tools for AI developers. We founded our company on the reputed company that while there were excellent tools for developers to build reputed company code, there were no similarly great tools to help ML practitioners build reputed company 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 reputed company 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 reputed company model builders including customers such as reputed company, reputed company, reputed company, and Toyota. • We're hiring a Senior Customer Sales Machine Learning Engineer to reputed company the technical engagement and reputed company 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 reputed company pre- and post-sales motions, working closely with federal machine learning (ML) teams to tackle critical, reputed company-world challenges across computer reputed company, 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 reputed company. 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 reputed company with government standards. Requirements: • Up to 8 years of relevant experience in a similar role working with the public sector or with government clients • Based in the D.C. metro area • Experience using one or more of the following packages: TensorFlow/Keras, PyTorch Lightning • Strong programming proficiency in Python and willingness to work “hands-on keyboard” to help practitioners see the value of W&B’s platform • Ability to adapt machine learning solutions to meet federal compliance standards and an understanding of what it takes to get the technical win in the government market • Excellent communication and presentation skills, both written and verbal, with a focus on explaining technical concepts reputed company the context of federal guidelines • Ability to effectively manage multiple conflicting priorities, respond promptly, and manage time effectively, often impacted by the lengthy timelines and layered approval processes typical of public sector engagements • Ability to break down reputed company problems and resolve them through customer consultation and execution • Experience with reputed company platforms (AWS, GCP, Azure), preferably in environments compliant with FedRAMP or government standards • Experience with Linux/Unix Benefits: • ??? Flexible time off • ?? Medical, Dental, and reputed company for employees and Family Coverage • ?? Remote first culture with in-office flexibility in San Francisco • ?? Home office budget with a new high-powered laptop • ?? Truly competitive salary and equity • ?? 12 weeks of Parental leave (U.S. specific) • ?? 401(k) (U.S. specific) • Supplemental benefits may be available depending on your location Apply Job!