…and engineering teams to drive greenfield initiatives forward, navigate unknowns, and iterate quickly and frequently. Experience building tools or infrastructure for AI/ML applications…

…Customer and Internal Advocacy - Advocate for federal customer needs with Product and Engineering, providing clear, actionable feedback informed by field experience. You will be…

…Drive technical project strategy, lead ML infrastructure optimization, and oversee the design and implementation of solutions across multiple specialized ML areas. Minimum qualifications: Bachelor…

…AI/ML infrastructure. This role sits within the Global Trade and Product Compliance (GTPC) organization and partners cross-functionally with Hardware Engineering, Supply Chain…

…Amazon's custom ML accelerators. Working across the stack from PyTorch till the hardware-software boundary, our engineers build systematic infrastructure, innovate new methods…

…science, engineering, mathematics or equivalent, or experience in a ML or data scientist role with a large technology company - Experience with AI/ML technologies…

…science, engineering, mathematics or equivalent - Demonstrated ability to build and validate solutions hands-on (code, infrastructure as code, tested deployments), not only advise - Experience…

…As a Staff Software Engineer, you will be a technical anchor for the foundational systems that move the world - from building the next generation…

…We are building security products that enable organizations to adopt AI applications and agents safely and at scale. As a Staff Software Engineer, you…

…Nice to Have Specialization in search and retrieval at scale — RAG pipelines, hybrid search, vector stores, re-ranking, and retrieval evaluation — or MLOps/model…

…raising, and mentoring engineers on production AI practices. Nice to Have Deeper specialization in search and retrieval at scale or MLOps/model observability. Published…

…Computer Engineering, or equivalent practical experience. Preferred Qualifications - Observability tooling: Prometheus, Grafana, OpenTelemetry, and alerting people actually act on. - GPU and ML infrastructure exposure…

…continuous improvement Preferred Qualifications Experience selling developer tools, APIs, cloud infrastructure, or AI/ML platforms Familiarity with consumption-based or usage-based pricing models…

…DevOps, Data Engineering, Cloud Infrastructure, Applications) to prepare, analyze, and operationalize data and AI/ML models 5. Serving as a trusted advisor to customers…

…a Senior Staff Platform Engineer to architect, build, and scale foundational infrastructure for some of our most demanding compute and AI/ML workloads. The…

…APIs, SDKs, internal platforms, ML infrastructure — products whose users are engineers. - You've shipped something agentic or model-backed into production. You understand evals…

…Lead the engineers responsible for the path from machines and operational systems to the trusted datasets, streams, and interfaces that scheduling, analytics, ML, software…

…building new products from scratch, applying AI and ML to massive real-world datasets, and shipping capabilities that change how organizations maintain equipment, manage…

…History of effective communication, storytelling, and alignment across all levels of leadership and cross-functional partners (Product, Design, ML Engineering, Data Science). Mentorship & Leadership…

…Amazon.com's recommendations engine is driven by ML, as are the paths that optimize robotic picking routes in our fulfillment centers. Our supply…

…into practical, scalable engineering guidance. Your Expertise: 9+ years of applied experience in production ML, specifically within non-stationary, adversarial domains (e.g., traffic…

…safety infrastructure, including canary systems, progressive delivery, feature flagging, and automated rollback mechanisms. Experience with reliability engineering for AI-enabled or ML-serving systems…

…pipeline of classical ML, backend engineering, and GenAI is one of the defining technical challenges of this role. As a Staff AI Scientist , you…

…to streamline manual finance workflows Background in AI, ML, or high-performance, large-scale computing infrastructure, including data centers, cloud service providers, etc Preferred…

…people with different levels of software engineering skills, from beginner to more advanced. - Comfortable diving into complex ML codebases to identify and resolve issues…