About the job
Amazon’s Frontier AI & Robotics (FAR) team is seeking a Member of Technical Staff to drive foundational research and build intelligent robotic systems from the ground up. In this role, you will operate at the intersection of cutting-edge AI research and real-world robotics - conducting original research, publishing, and deploying your innovations into production systems at Amazon scale. We’re looking for researchers who think from first principles, push the boundaries of what’s possible, and take full ownership of turning breakthrough ideas into working systems.
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
Qualifications
Minimum
- 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