Senior Software Engineer, ML Workflows - Weights & Biases
CoreWeave · Livingston, NJ / New York, NY / San Francisco, CA / Sunnyvale, CA / Bellevue, WA
About this role
## CoreWeave — Senior Software Engineer, ML Workflows (Weights & Biases) ### About the Role Reporting to the Senior Engineering Manager for ML Workflows, you’ll own the architecture and evolution of core systems in the Weights & Biases platform. ML Workflows powers how customers move models and data through W&B, including: - **Artifacts**: versioned data layer for logged objects - **Registry**: organization-wide source of truth for production-ready artifacts - **Automations**: event/action layer for the platform - **Launch**: execution infrastructure for customer ML and agent workloads You’ll work end-to-end—from design through production reliability—across the W&B backend, Python SDK, and frontend, partnering with product, design, and ML platform engineers, and speaking directly with enterprise ML teams. ### What You’ll Do - Own the architecture and evolution of a core platform area, scaling to **billions of artifacts** and high-volume event/job throughput - Dive into system architecture to optimize performance, solve complex bugs, and make tradeoffs between short-term delivery and long-term health - Work across the stack: **Go backend**, **GraphQL APIs**, **Python SDK**, and **TypeScript frontend** - Lead migrations and re-architecture of systems carrying live customer traffic - Identify and refactor technical debt to improve maintainability and developer productivity - Establish engineering patterns and best practices as the platform grows - Collaborate with product and design to turn complex requirements into clean implementations - Work directly with customers to understand workflow challenges and feed insights into the product cycle - Mentor engineers and raise the technical bar ### What We’re Looking For **Expected requirements:** - Bachelor’s degree (or foreign equivalent) in a relevant technical/quantitative field - **6+ years** of software engineering experience, including leading significant technical initiatives or architectural changes - Strong proficiency in **Go** (or another compiled language with ability to ramp quickly on Go) - Working proficiency in **Python** - Ability to dive into complex systems you didn’t write to diagnose and fix difficult bugs across service boundaries - Track record of mentoring and raising the technical bar - Strong communication skills **Depth in 1–2 areas (examples):** - **Distributed systems & infrastructure** (production services, containers/Kubernetes, cloud, orchestration) - **Frontend & full-stack** (TypeScript/React, state management, performance, end-to-end feature delivery) - **Data at scale** (schema design, query performance, large-scale storage, ClickHouse/analytical stores) - **APIs & developer surfaces** (API design, GraphQL optimization, SDKs/client libraries) - **Event-driven systems** (Kafka/PubSub, delivery semantics, idempotency, retries) Plus: experience in **ML infrastructure, MLOps, or developer tools**. ### Compensation & Benefits (Summary) - Base pay & target total cash range: **$165,000–$220,000** (final offer depends on knowledge, skills, experience, and location) - Total rewards may include **discretionary bonus, equity awards, and benefits** (eligibility-based) - US benefits include (high level): **medical/dental/vision (100% paid by CoreWeave)**, life/disability coverage, HSA/FSA, tuition reimbursement, ESPP, parental leave, 401(k) match, flexible PTO, and more ### Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer and provides
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