Top AI & Machine Learning Jobs

Own the architecture and evolution of W&B ML workflow systems, including backend services, APIs, SDKs, and frontend components. Design scalable systems, lead live-traffic migrations, resolve complex cross-service issues, reduce technical debt, and improve reliability. Collaborate with product, design, customers, and ML platform teams to deliver workflow solutions. Mentor engineers and establish scalable engineering practices across distributed systems, data platforms, APIs, event-driven infrastructure, or full-stack development.

Develop AI agents, copilots, full-stack applications, backend services, and enterprise integrations for internal business workflows. Build React and TypeScript interfaces, automate data processing, integrate LLM APIs, write tests, troubleshoot defects, and support deployments. Collaborate with engineers and business stakeholders across Finance, Supply Chain, HR, Legal, and data center operations while following security, monitoring, documentation, and code-quality practices.

Owns the design, deployment, governance, and operation of enterprise AI platforms and employee-facing agents. Builds secure control layers including identity, access, device, tenant, MCP, secrets, logging, rate limiting, and cost controls. Establishes AI lifecycle processes, evaluates and rolls out new tools, operates infrastructure to SRE standards, and develops telemetry, dashboards, runbooks, and incident response. Partners with Security, Legal, Privacy, and IT teams to translate governance requirements into enforceable technical controls.

Lead the design and delivery of production machine learning systems for infrastructure observability, troubleshooting, and optimization. Develop anomaly detection, time-series analysis, event correlation, recommendations, ranking, and root-cause inference capabilities. Build evaluation frameworks, data pipelines, feature workflows, model-serving services, monitoring, and feedback loops. Integrate ML with telemetry platforms and customer-facing products, establish engineering standards, mentor engineers, and influence technical roadmaps across teams.

Embed with customer AI teams to design, prototype, and productionize AI agents using W&B Weave. Advise on architecture, build reference implementations and demos, run technical workshops, gather field feedback for product roadmap, and troubleshoot customer environments.

Lead and grow the engineering team productizing and operating an inference offering. Drive roadmap execution with Product, improve reliability, observability, release and incident processes, integrate platform capabilities, and deliver developer-friendly tooling and application-layer enhancements to scale production ML workloads.

Serve as the named technical partner for financial services customers, driving adoption and expansion of CoreWeave's AI platform. Provide hands-on support for training, fine-tuning, evaluating, and deploying LLMs and other deep learning workloads; solve technical problems, create demos/PoCs, advise on production performance, reliability, governance, and infrastructure efficiency; collaborate with sales, field engineers, product, and engineering to ensure customer success.

Lead go-to-market and technical strategy for AI developer tooling, winning early customers and building repeatable playbooks. Translate customer MLOps requirements into product feedback, partner with engineering and Weights & Biases, and enable sales/solutions teams to close deals around experiment tracking, model governance, and LLM observability.

Act as the named technical partner for prospective customers, design demos and end-to-end PoCs, advise on best practices for AI workloads, collaborate with Sales and Field Engineering, and influence product roadmap based on customer needs to drive adoption and production deployment of LLM-powered applications.

Lead and grow strategic partnerships across the Physical AI stack (robotics, simulation, autonomous systems). Drive joint product integrations, co-innovation, go-to-market motions, co-sell opportunities, and partner-aligned roadmaps with NVIDIA and key platform/OEM partners. Influence Product and Engineering requirements, execute quarterly business plans, and represent CoreWeave at industry events to accelerate revenue and market adoption.