Top AI & Machine Learning Jobs

Lead CoreWeaves robotics field engineering vertical: design, build, and deploy ML solutions on physical robots using CoreWeave's AI platform; own customer engagements from scoping to production, validate sim-to-real performance, create customer-facing applications, and translate field signals into product requirements.

Lead product marketing for CoreWeaves Agentic AI platform: define positioning, messaging, GTM programs, sales enablement, partner GTM, customer evidence, thought leadership, and market intelligence to drive adoption of agentic AI infrastructure.

Named technical partner for a portfolio of financial-services customers to deepen adoption of CoreWeave's AI platform. Design, train, fine-tune, evaluate, and deploy LLM and deep-learning workloads; guide AI lifecycle, troubleshoot complex production issues, drive expansion, and represent customer needs to product and engineering. Deliver architecture recommendations, demos, workshops, and executive presentations.

Design, implement, and maintain infrastructure and tools to validate GPU performance at scale. Develop performance tests, automation workflows, and Kubernetes controllers/operators, extend open-source tooling for metrics and observability, troubleshoot production systems, and participate in on-call rotation.

Design and build production-grade full-stack, AI-enabled applications. Develop React/Next.js frontends, backend services on Kubernetes, integrate LLM/AI features, connect data platforms, implement CI/CD, automated testing, observability, and ensure secure, high-performance APIs and services.

Lead and grow the Technical Solutions Management team for strategic customers; manage technical relationships, define and deliver technical requirements, coordinate cross-functional teams to execute complex AI/GPU cloud infrastructure programs, set and monitor KPIs, engage customers on workloads and requirements, and drive continuous service and operational improvements.

The Senior Software Engineer II, AI/ML leads designs, enhances architecture, optimizes multilayer systems, mentors engineers, and ensures service reliability at CoreWeave.

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 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.

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.