Senior Customer Reliability Engineer - Weights & Biases

Weights and Biases
Livingston, NJ / New York, NY / Sunnyvale, CA / Bellevue, WA / Remote - US$165k – $242kPosted 7 April 2026

Job Description

CoreWeave, the AI Hyperscaler™, acquired Weights Biases to create the most powerful end-to-end platform to develop, deploy, and iterate AI faster. Since 2017, CoreWeave has operated a growing footprint of data centers covering every region of the US and across Europe, and was ranked as one of the TIME100 most influential companies of 2024. By bringing together CoreWeave’s industry-leading cloud infrastructure with the best-in-class tools AI practitioners know and love from Weights Biases, we’re setting a new standard for how AI is built, trained, and scaled. The integration of our teams and technologies is accelerating our shared mission: to empower developers with the tools and infrastructure they need to push the boundaries of what AI can do. From experiment tracking and model optimization to high-performance training clusters, agent building, and inference at scale, we’re combining forces to serve the full AI lifecycle — all in one seamless platform. Weights Biases has long been trusted by over 1,500 organizations — including AstraZeneca, Canva, Cohere, OpenAI, Meta, Snowflake, Square,Toyota, and Wayve — to build better models, AI agents and applications. Now, as part of CoreWeave, that impact is amplified across a broader ecosystem of AI innovators, researchers, and enterprises. As we unite under one vision, we’re looking for bold thinkers and agile builders who are excited to shape the future of AI alongside us. If you're passionate about solving complex problems at the intersection of software, hardware, and AI, there's never been a more exciting time to join our team. As Weights Biases and CoreWeave unite to deliver the most powerful AI development platform, the Senior Customer Reliability Engineer plays a critical role in ensuring our highest-value customers achieve exceptional stability, performance, and long-term success. In this role, you will act as the technical owner and trusted engineering partner for a select group of strategic customers. You’ll gain deep insight into their architectures, workloads, and scaling needs, helping them proactively optimize their use of our platform and quickly resolve the most complex issues impacting their success. Your work ensures that our customers can move fast with confidence, while enabling product and engineering teams to focus on building and innovating. What You’ll Do Serve as the primary technical partner for a portfolio of top-tier enterprise customers, owning reliability, performance, and operational success for their critical workloads. Develop a deep understanding of each customer’s architecture and ML workloads to provide proactive guidance, best practices, and optimization strategies. Troubleshoot and resolve complex problems across Weights Biases platform, APIs, integrations, and customer environments — driving both immediate fixes and long-term solutions. Reproduce, isolate, and document product issues, collaborating closely with engineering to ensure prioritization and sustainable resolution. Build tools, scripts, and automation to diagnose issues quickly and enhance internal and customer-facing troubleshooting workflows. Provide architectural and operational recommendations to help customers scale experimentation, training pipelines, and generative AI workloads efficiently. Mentor support engineers, ensuring consistent technical depth and high-quality guidance across customer interactions. Identify patterns across top-tier accounts and advocate for systemic improvements that enhance platform reliability and customer experience. Participate in incident response, postmortems, and internal documentation to continually elevate reliability standards. Participate in a 24/7 on-call rotation focused on supporting mission-critical customer workloads. Who You Are 5+ years of experience in technical support, customer engineering, production engineering, reliability engineering, or a similar role supporting enterprise or strategic accounts. Expert ... (truncated, view full listing at source)
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