Top AI & Machine Learning Jobs in New York City, NY

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.

Design and build AI agents, first-party web and mobile apps, and scalable backend services. Integrate LLM frameworks and enterprise systems, implement APIs and microservices, ensure observability and security, and collaborate with Finance, Security, and Engineering stakeholders.

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.

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 cross-functional programs for inference platform delivery, customer onboarding, launch readiness, and runtime optimization. Drive roadmap outcomes for latency, throughput, uptime, and price-performance. Build metrics, dashboards, launch gates, and repeatable processes for release validation, performance regression tracking, and postmortems. Align Engineering, Product, Infrastructure, and GTM teams to deliver reliable, scalable inference services and operational excellence.

Lead cross-functional programs to validate and optimize AI/ML infrastructure performance. Drive benchmarking, observability, hardware bring-up, release readiness, and measurable metrics across GPU-based clusters. Coordinate engineering, infrastructure, product, capacity, and go-to-market teams to operationalize benchmarking frameworks, prioritize performance work, and ensure platforms meet stability and performance standards for training and inference workloads.

The Sr. Data Scientist will architect and scale data infrastructure, build robust data pipelines, and support the development of AI agents to optimize capacity management and operational decisions.

Sell and shape adoption of CoreWeaves AI Runtime Services by driving technical-commercial strategy, proving value with early customers, creating playbooks, and feeding product roadmap. Advise on serving frameworks, batching, execution isolation, throughput modeling, GPU utilization, and SLA structures while partnering with product, infra, and sales teams.