> Markdown version of [/jobs/ext/1885973-technical-support-engineer-ii](https://www.wearedevelopers.com/jobs/ext/1885973-technical-support-engineer-ii). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Technical Support Engineer II - **Company:** Coreweave, Inc. - **Location:** United States - **Experience:** Experienced - **Salary:** $99,000.0 - $145,000.0 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Microsoft Azure, Software as a Service, Computer Programming, Python (Programming Language), LiveChat, Machine Learning, Tensorflow, Jupyter Notebook, Google Cloud, Cloud Platform System, Pytorch, Keras, Matplotlib, Kubernetes, Bug Reporting, Information Technology, Front End Software Development, Docker - **Published:** August 2, 2026 - **Apply:** https://www.dice.com/job-detail/96627194-ddc1-4ea9-90ce-da41f896ad54 ## About the Role * 2+ Programming experience, from either an engineering role, a computer science degree, or personal projects * Python proficiency * Experience using any of the following: Keras, Tensorborad, Tensorflow, Pytorch, Pytorch Lightning, Jupyter notebooks, colabs, matplotlib and other ML frameworks and tools * A passion for connecting with real users and enabling them to be power users of the product * Good organization of assigned requests to oversee timely follow-up for every message * Work autonomously in a self-directed environment * Proactively find ways to improve processes and collaborate internally * Answer messages with a kind, thoughtful tone that makes users feel appreciated and connected to our team * Interest in machine learning Preferred: * Previous experience in machine learning * Customer service experience in a technical SaaS environment * Experience in frontend frameworks * Experience with Docker, AWS, Google Cloud Platform, Azure * Experience with Kubernetes or other cloud infrastructures Wondering if you're a good fit? 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. ## Description Support is a deep part of our culture here at Weights And Biases by CoreWeave. We believe that the best way to build a great product is to listen to real users and follow their lead to shape our priorities and roadmap. In this role, you will work on a diverse set of problems in a fast-moving environment, collaborate cross-functionally with our team to support our users, and help shape our product. Your main goal will be to quickly get answers to all user messages. Customers write in with highly technical questions, suggestions, or bug reports, and we need to give them timely responses to fulfill SLAs. Ideally, we're looking for someone with technical skills who would like to support our customer base. If you've found yourself wanting to be more external but still build programming/machine learning skills, this is the role for you. About the role: * Quickly respond to all inbound support requests, including email, live chat, and community forums * Triage bugs and requests based on customer type and severity of issue * Track inbound and outbound responses to ensure contact SLAs are being met * Maintain a fast response time for entire user base * Collaborate with the engineering and product team when troubleshooting issues and providing feedback on features * Recognize trends in user messages to help identify areas of improvement in internal or external documentation * Learn Weights & Biases' product features and build up knowledge base to resolve issues on your own * Participate in a 24/7 on-call rotation to provide support during weekends ## Related Videos - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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