Senior AI Solutions Engineer, Post Sales- Weights & Biases

<div class="content-intro"><div> <div> <div class="gmail_quote"> <div> <div><span id="m_1770241969069985273m_-2746164444908759431gmail-docs-internal-guid-131e4fb0-7fff-b4e9-ff50-e8cf32449b1b">CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at <a href="http://www.coreweave.com/" target="_blank" data-saferedirecturl="https://www.google.com/url?q=http://www.coreweave.comsource=gmailust=1762613132717000usg=AOvVaw3D-UOhNaqEvF5BEWxjYyAU">www.coreweave.com</a>.</span></div> </div> </div> </div> </div></div><p><strong>What You’ll Do:<br></strong><strong><br></strong>The Field Engineering team at Weights Biases plays a vital role in ensuring customer success and adoption of our platform. As part of this team, we partner with Sales, Support, Product, and Engineering to lead technical success after the sales process. We work closely with some of the most advanced AI teams in the world, helping them build, optimize, and scale their ML and GenAI workflows across industries such as computer vision, robotics, natural language processing, and large language models (LLMs).</p> <p><strong>About the Role:<br></strong><strong><br></strong>We’re hiring an <strong>AI Solutions Engineer, Post-Sales,</strong> to help customers solve real-world problems by implementing and scaling ML pipelines and agentic workflows using Weights Biases. In this role, you’ll collaborate with engineering teams to ensure smooth onboarding and adoption, act as a trusted advisor on best practices, and represent the voice of the customer internally. You will partner directly with leading AI teams to optimize workflows, share technical expertise, and influence our product roadmap based on real-world customer feedback. This is an ideal opportunity for ML practitioners who are customer-focused and eager to work with top AI companies globally.</p> <p><strong>Who You Are:</strong></p> <ul> <li>3–5 years of relevant experience in a similar role</li> <li>Strong programming proficiency in Python</li> <li>Experience with deep learning frameworks (TensorFlow/Keras, PyTorch Lightning) and tools (e.g., Streamlit, LangChain)</li> <li>Familiarity with cloud platforms (AWS, GCP, Azure)</li> <li>Strong experience with Linux/Unix</li> <li>Excellent communication and presentation skills, both written and verbal</li> <li>Ability to break down and solve complex problems through customer consultation and execution</li> <li>Proven ability to manage multiple priorities in a fast-paced, dynamic environment</li> </ul> <p><strong>Preferred:</strong></p> <ul> <li>Experience with GenAI and LLMs</li> <li>Proficiency with HuggingFace, Fastai, scikit-learn, XGBoost, LightGBM, or Ray</li> <li>Experience with hyperparameter optimization solutions</li> <li>Background in data engineering, MLOps, or LLMOps, with tools such as Docker and Kubernetes</li> <li>Familiarity with data pipeline tools</li> </ul> <p><strong>Wondering if you’re a good fit?</strong><strong><br></strong>We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk.</p> <ul> <li>You love collaborating with top AI teams to solve real-world ML and GenAI challenges</li> <li>You’re curious about how to optimize AI workflows at scale</li> <li>You’re an expert in Python and ML tooling, with a passion for enabling customer success</li> </ul> <p><strong>Why Us?</strong><str ... (truncated, view full listing at source)