Salary
$165k – $220k per year
Location
In office (New York)
Seniority
Senior
Employment
Full-Time
First seen by Alion on Oct 18, 2026.
Overview
Company
Impact
Profile match
Headquartered in San Francisco, California, United States, Weights & Biases is a leading AI developer platform and machine learning operations (MLOps) software provider. The company offers a comprehensive suite of tools designed to streamline the machine learning lifecycle, encompassing experiment tracking, model and dataset versioning, hyperparameter optimization, visualization dashboards, and AI agent tracing and evaluation. Widely adopted by data scientists, researchers, and enterprise AI teams worldwide - including major technology leaders and generative AI pioneers - it provides the foundational infrastructure and collaborative workspace necessary to build, test, and productionize robust AI models and applications at scale.
Backed by Insight Partners, Coatue, Felicis
CoreWeave is hiring a Senior Software Engineer for the Weights & Biases ML Workflows team. The role owns the architecture, development, and production reliability of platform systems that support moving models and data through W&B, partnering across backend, SDK, frontend, product, and customer teams.
Responsibilities
- Own the architecture and evolution of a core platform area, designing systems that scale to billions of artifacts and high-volume event and job throughput
- Dive deep into system architecture to find optimization opportunities, solve complex bugs, and make the difficult calls that balance short-term delivery against long-term platform health
- Work across the stack as the problem requires, from Go backend services and GraphQL APIs to the Python SDK and the TypeScript frontend
- Lead migrations and re-architecture of systems carrying live customer traffic, keeping the experience seamless for the customers who depend on them
- Identify and refactor technical debt, improving maintainability and developer productivity
- Establish engineering patterns and best practices that hold up as the platform grows
- Collaborate with product and design to turn complex user requirements into clean technical implementations
- Work directly with customers to understand their ML workflow challenges, and bring that feedback into the product cycle
- Mentor engineers and raise the technical bar across the team
Skills
- Bachelor's degree or foreign equivalent in Computer Science, Computer Engineering, Data Science, Information Systems, or a closely related technical or quantitative field involving substantial coursework in Engineering
- 6+ years of software engineering experience, including time leading significant technical initiatives or architectural changes
- Strong proficiency in Go, or in another compiled language (C, C++, C#, Rust, Java) with the ability to ramp on Go quickly
- Working proficiency in Python
- Comfort diving into complex systems you did not write, to diagnose and fix difficult bugs across service boundaries
- A track record of mentoring engineers and raising the technical bar around you
- Strong communication, including the ability to explain complex technical decisions to different audiences
- Distributed systems and infrastructure. Designing and operating services in production, containers and Kubernetes, cloud infrastructure, orchestration
- Frontend and full-stack. TypeScript and React, complex state management, frontend performance work, taking a feature all the way through to the UI
- Data at scale. Schema design, query performance, large-scale storage, and analytical stores such as ClickHouse
- APIs and developer surfaces. API design, GraphQL query optimization and data fetching strategies, SDKs and client libraries
- Event-driven systems. Message queues such as Kafka or PubSub, delivery semantics, idempotency, and retries
- (A) 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, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency
- Experience in ML infrastructure, MLOps, or developer tools is a plus
Benefits
- Discretionary bonus, based on eligibility
- Equity awards, based on eligibility
- 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 the 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
Company Overview
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