Senior Data Platform Engineer- Weights & Biases

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. What You'll Do: The Data group at Weights Biases works across the full range of data-related topics: We help business partners set goals, make decisions, and understand the levers to achieve their goals. We build reporting to keep the business attuned and aligned. We build datasets and pipelines to support self-service analysis. We train models to understand our customer growth, churn risk, and detect spam and abuse. We’re exploring novel benchmarks and recs for model training. We build and maintain a massive data platform to power it all. About the role: As a Senior Data Platform Engineer, you will: Partner with other Data Platform Engineers and Data Scientists to expand and maintain our data platform. Partner with core engineering to improve our product telemetry. Eventually, join our on-call rotation for the data platform. Strategic goals for the team over the next 12 months: Migrate data build tools to improve efficiency and performance Build a robust internal data catalog and semantic layer to support self-service analytics. Build an internal AI agent for addressing common data workflows. Lay the foundations for internal AI applications built on top of our operational data. Who You Are: Deep knowledge (practical and theoretical) of data engineering and the accompanying workflows. History of writing easy-to-follow code and effective documentation for your projects. Expert knowledge of data orchestration/data pipeline tools (dbt, dagster, airflow, etc). Experience working with large and high-demand data warehouses/platforms, multi-PB scale, and extreme business demand for the systems. Expert knowledge and understanding of web apps and best practices for logging and event instrumentation. Ability to clearly communicate your ideas to folks across a range of backgrounds and levels of technical knowledge. Preferred: If you work well in a self-directed environment and proactively find ways to improve processes and collaborate with team members or engaged users, your initiative will really shine in this role. You'll love this role if you enjoy connecting with real users daily, helping them solve issues, and understanding good patterns for using our tools. You'll answer questions and requests with a kind, thoughtful tone that makes users feel appreciated and connected to our team. Theoretical or practical knowledge of machine le ... (truncated, view full listing at source)