Staff Data Platform Engineer - Weights & Biases

CoreWeave, the AI HyperscalerTM, 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 that AI practitioners know and love from Weights & Biases, we're setting a new standard for how AI is built, trained, and scaled. From experiment tracking and model optimization to high‐performance training clusters, agent building, and inference at scale, we are serving 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.What We DoHelp 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 our 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.About The RoleBuild and operate the core data platform that powers reporting, self‐serve analytics, and data‐driven product decisions.Lead end‐to‐end platform initiatives—from design to rollout to operational ownership—balancing performance, cost, reliability, and developer experience.Partner closely with Data Scientists/Analysts and product engineering teams to improve telemetry quality and unlock new use cases on operational data.Design and scale ingestion and transformation systems that keep pace with rapid product growth and an increasingly distributed operational footprint.Build the platform with operability in mind: observability, on‐call readiness, incident response, and well‐documented runbooks.Participate in the data platform on‐call rotation after an onboarding period.Strategic goals for the team over the next 12 months:Evolve our analytics architecture to effectively support multi‐petabyte scale by shifting high‐volume workloads to more scalable, cost‐effective compute and storage patterns, while maintaining (or improving) query performance and reliability.Unify and standardize ingestion across a growing number of operational databases and deployment environments, enabling consistent governance, and observability as we scale from centralized infrastructure toward customer‐dedicated environments.Lay foundations for internal applications (including ML/AI use cases) built on top of trustworthy, governed operational data.Who You AreDeep 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 & high demand data warehouses/platforms. Multi‐PB scale, with extreme business demand of the systems.Experience evolving architectures as scale changes (e.g., warehouse‐only → hybrid / lakehouse‐style patterns; storage/compute separation; open table formats).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.PreferredAutonomous: 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.Outgoing and friendly: You'll love this role if you enjoy connecting with real users day to day, helping them solve issues and understand good patterns for using our tools. Day to day you'll be answering questions and requests with a kind, thoughtful tone that makes users feel appreciated and connected to our team.Theoretical or practical knowledge of machine learning workflows and terminology.Why UsBe Curious at Your CoreAct Like an OwnerEmpower EmployeesDeliver Best‐in‐Class Client ExperiencesAchieve More TogetherWhat We OfferThe base pay and target total cash for this position range from $188,000 to $275,000, accordingly. Pay is based on a number of factors including market location and may vary depending on job‐related knowledge, skills, and experience. This position includes a discretionary bonus, equity, and a comprehensive benefits package.In addition to a competitive salary, we offer a variety of benefits to support your needs, including:Medical, dental, and vision insurance – 100% paid for by CoreWeaveCompany‐paid Life InsuranceVoluntary supplemental life insuranceShort and long‐term disability insuranceFlexible Spending AccountHealth Savings AccountTuition ReimbursementAbility to Participate in Employee Stock Purchase Program (ESPP)Mental Wellness Benefits through Spring HealthFamily‐Forming support provided by CarrotPaid Parental LeaveFlexible, full‐service childcare support with Kinside401(k) with a generous employer matchFlexible PTOCatered lunch each day in our office and data center locationsA casual work environmentA work culture focused on innovative disruptionOur WorkplaceWhile we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration.Legal InformationCalifornia Consumer Privacy Act – California applicants only.CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com.Export Control ComplianceThis position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be:A U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. 1157, or (iv) asylee under 8 U.S.C. 1158.Eligible to access the export controlled information without a required export authorization.Eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.#J-18808-Ljbffr