Amazon Science

Job Summary:
Amazon Science is seeking a Member of Technical Staff to drive foundational research and build intelligent robotic systems. The role involves conducting original research and deploying innovations into production systems, focusing on areas such as locomotion, manipulation, and multi-modal robot learning.
Responsibilities:
• Drive independent research initiatives across the robotics stack, including robot co-design, dexterous manipulation mechanisms, innovative actuation strategies, state estimation, low-level control, system identification, reinforcement learning, sim-to-real transfer, as well as foundation models focusing on breakthrough approaches in perception, and manipulation, for example open-vocabulary panoptic scene understanding, scaling up multi-modal LLMs, sim2real/real2sim techniques, end-to-end vision-language-action models, efficient model inference, video tokenization
• Design and implement novel deep learning architectures that push the boundaries of what robots can understand and accomplish
• Guide technical direction for full-stack robotics projects from conceptualization through deployment, taking a system-level approach that integrates hardware considerations with algorithmic development, ensuring robust performance in production environments
• Collaborate with platform and hardware teams to ensure seamless integration across the entire robotics stack, optimizing and scaling models for real-world applications
• Contribute to team's technical decisions and influence implementation strategies to help shape our approach to next-generation robotics challenges
• Mentor fellow researchers while maintaining solid individual technical contributions
• Design and implement novel foundation model architectures and innovative systems and algorithms, leveraging our extensive infrastructure to prototype and evaluate at scale
• Collaborate with our world-class research team to solve complex technical challenges across the full robotics stack
• Lead focused technical initiatives from conception through deployment, ensuring successful integration with production systems
• Drive technical discussions and brainstorming sessions with team leaders, fellow researchers and key stakeholders
• Conduct experiments and prototype new ideas using our massive compute cluster and extensive robotics infrastructure
• Transform theoretical insights into practical solutions that can handle the complexities of real-world robotics applications
Qualifications:
Required:
• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
• Experience with any programming language such as Python, Java, C++
• Experience building machine learning models or developing algorithms for business application
• Experience in patents or publications at top-tier peer-reviewed conferences or journals
• Experience developing and implementing deep learning models and applying theoretical models in an applied environment
Preferred:
• Prior industry or academic research experience and demonstrated expertise in deep learning and large-scale robotics system development
• Extensive programming skills in Python and PyTorch/JAX
• History of impactful first-author publications at major or top-tier Robotics/ML/AI conferences
• Experience bridging research with practical engineering implementation in real robotics systems. Experience with sim2real transfer or multi-task learning
• Hands-on experience training or fine-tuning large-scale foundation models or large language models (LLMs, VLMs, VLAs). Track record of deploying ML models in production environments
Company:
Amazon Science showcases Amazon’s scientific research, publications, and collaborations across AI, machine learning, and related fields. Founded in 2020, the company is headquartered in Seattle, Washington, US, , with a team of 10001+ employees. The company is currently Late Stage.