Weights & Biases

Role Description The Data group at Weights & Biases works across the full range of data-related topics: - Help business partners set goals, make decisions, and understand the levers to achieve their goals. - Build reporting to keep the business attuned and aligned. - Build datasets and pipelines to support self-service analysis. - Train models to understand customer growth, churn risk, and detect spam and abuse. - Explore novel benchmarks and recommendations for model training. - Build and maintain a massive data platform to power it all. 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. Qualifications - 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. Requirements - 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. - Theoretical or practical knowledge of machine learning workflows and terminology. Benefits - Medical, dental, and vision insurance - 100% paid for by CoreWeave. - Company-paid Life Insurance. - Voluntary supplemental life insurance. - Short and long-term disability insurance. - Flexible Spending Account. - Health Savings Account. - Tuition Reimbursement. - Ability to Participate in Employee Stock Purchase Program (ESPP). - Mental Wellness Benefits through Spring Health. - Family-Forming support provided by Carrot. - Paid Parental Leave. - Flexible, full-service childcare support with Kinside. - 401(k) with a generous employer match. - Flexible PTO. - Catered lunch each day in our office and data center locations. - A casual work environment. - A work culture focused on innovative disruption.