…model performance, developer tooling, and enterprise AI deployment. You don't need to be an ML researcher, but curiosity here is non-negotiable. - Comfort…

…Translate research-grade DS workflows (e.g., proxy metrics, staleness models) into production ML pipelines using Airflow, WandB & Ray while establishing reusable patterns for…

…The teams work from research and development, designing algorithms, integrating them into production, and maintaining them via MLOps. For example, the team has developed…

…Check out more information about Prime Air on the About Amazon blog (https://www.aboutamazon.com/news/transportation/amazon-prime-air-delivery-drone-reveal…

…You'll work in a collaborative environment where you can pursue applied research, with many peta-bytes of data, work on problems that haven…

…Ability to work closely with multi-functional teams (ML researchers, infra engineers, product leads) and translate requirements into robust systems. Ways to stand out…

…ML performance challenges (model → kernel → silicon) Collaborate with top architecture, systems, and AI teams High-impact role with visibility across product and research roadmaps…

…Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About…

…a background in ML research or model training — this role is about building and operating the platform that serves AI reliably at scale, not…

…systems, robotics, AI/ML, hardware, and electrical. You will focus on uncovering highly specialized, often passive candidates and partnering closely with recruiters and engineering…

…researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking a Recruiting Research Scientist…

…Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, MLflow, Omnigent) across the developer community. What…

…Familiarity with AI/ML workflows, annotation tools, or evals. Experience creating and maintaining component libraries, design systems, or internal tools. COMPENSATION AND BENEFITS: $175…

…Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping…

…You'll partner closely with AI Research, Product Engineering, Infrastructure, and external AI providers to ensure our platform remains reliable, scalable, and cost-efficient…

…of complex workflows - Experience designing for AI/ML-powered products, including conversational interfaces, recommendation systems, generative AI tools, or intelligent automation features. - Ability to…

…As an Applied Scientist you will combine state-of-the-art ML/AI techniques with emerging Agentic AI capabilities to build autonomous systems that…

As a Level 4 Research Analyst, you will implement classical ML models and LLM based inferences to solve defined problems. You'll work closely…

…GenAI, LLMs, and AI-agent architectures to advance our abuse prevention capabilities. Key job responsibilities - Design, develop, and deploy production ML systems for abuse…

…Partner with product, engineering, and business teams to productize research and inform roadmap decisions with data About the team This role sits within Amazon…

The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading generative AI technologies, revolutionizing how millions…

…to the root of the problem - Have practical knowledge of emerging AI/ML applications in user experience Key job responsibilities - Lead end-to-end…

…the advertiser and both technical and non-technical stakeholders - Experience with AI/ML technologies Amazon is an equal opportunity employer and does not discriminate…

…Exposure to vulnerability research or security programs. ML systems: Experience with teams building ML infrastructure or agents. Founding experience: Growing new teams from their…

…Deep experience architecting distributed systems, ML pipelines, or large-scale platforms. Research to production: A record of turning research into production-grade engineering. Collaboration…