Technical Staff Member - Multimodal Reasoning in ...

Join Amazon's innovative research lab dedicated to advancing foundational capabilities for practical AI agents designed to empower customers and enhance their productivity. Our cutting-edge work focuses on leveraging large vision-language models (VLMs) in conjunction with reinforcement learning and world modeling to tackle complex challenges in perception, reasoning, and planning. We are a close-knit, high-performance team that combines the agility of a startup environment with the resources of Amazon. Our commitment to pioneering research means we are ready to explore high-risk, high-reward initiatives. Now is an exciting time to redefine what AI can achieve. Key Responsibilities: Lead efforts to enhance our AI agent's multimodal perception and reasoning capabilities through applied research. Engage in model training, dataset design, and optimization before and after training. Collaborate across teams, sharing insights and innovations to propel our projects forward. BASIC QUALIFICATIONS: 5+ years of experience in building machine learning models. PhD or Master's degree in Computer Science or a related field. Proficiency in programming languages such as Python, Java, or C++. Hands-on experience with deep learning frameworks like PyTorch or JAX. PREFERRED QUALIFICATIONS: Strong background in scientific research and a proven track record of generating innovative ideas in machine learning. Experience in the post-training processes of large Vision Language Models (VLMs). A proactive attitude in taking on diverse tasks, including coding, designing experiments, and interpreting results. Excellent communication skills, capable of presenting complex results to both technical and non-technical audiences. A visionary mindset to explore the future development arc of AI and identifying real-world applications for our technologies. Experience in mentoring junior scientists and engineers, contributing to the team’s overall growth and expertise. Amazon is committed to a diverse and inclusive workplace. We do not discriminate based on veteran status, disability, or any other legally protected status. We encourage applicants from all backgrounds to apply. If you require accommodations during the application process, please reach out for support. We value exceptional customer service and adherence to standards in all interactions. The compensation for this role ranges from $255,000 to $345,000 per year, influenced by geographic location, skills, and experience. Alongside salary, a total compensation package may include equity, sign-on bonuses, and comprehensive benefits. This position will remain open until filled. Interested candidates are encouraged to apply through our career sites.

Created: 2026-03-11