Currently tracking 995 active AI roles, up 64% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$465k (avg $196k).
| Title | Stage | AI score |
|---|---|---|
| Applied Scientist, Amazon Robotics Research scientist role focused on combining LLMs with classical AI reasoning for robotics and automation applications. The role involves generating plans, verifying correctness, learning strategies, and self-improving models, with an emphasis on publishing research and applying technology to operational problems. | Agent | 9 |
| Applied Scientist, Amazon Robotics Research scientist role focused on combining LLMs with classical AI reasoning for robotics and automation applications. The role involves generating plans, verifying correctness, learning strategies, and self-improving models, with an emphasis on publishing research and applying technology to operational problems. | Agent | 9 |
| Applied Science Manager, AWS Generative AI Innovation Center |
| ShipPost-train |
| 8 |
| Software Dev Engineer Intern Machine Learning, Amazon Robotics Software Development Engineer Intern Machine Learning, Amazon Robotics. The role involves simplifying ML training infrastructure, extending monitoring of ML trainings, and potentially developing perception models for warehouse robots. It requires experience with AI, Neural Networks, Tensorflow, and PyTorch, and focuses on building scalable ML solutions within a robotics context. | Data | 7 |
| Postdoctoral Scientist, Amazon Robotics Postdoctoral Scientist role in Amazon Robotics focusing on computer vision and manipulation challenges in warehouses, involving developing robotic manipulators with machine learning approaches. The role requires innovation in 3D scene understanding and item identification for robotic interaction. | Agent | 7 |
| 2026 Applied Scientist Intern, Amazon University Talent Acquisition MS or PhD student internship in machine learning, deep learning, generative AI, LLMs, speech, robotics, vision, optimization, OR, quantum computing, automated reasoning, or formal methods. Focus on designing and developing end-to-end systems, writing technical white papers, creating roadmaps, and driving production-level projects. Opportunity to design new algorithms and models, deploy solutions into production, and potentially publish work. | Post-train | 7 |