Responsibilities

• Conduct daring research primarily in Natural Language Processing, Computer Vision, Planning, Dialog, and Robotics that solves open problems of high practical and/or ethical value and validate it in real-world benchmarks and systems.
• Push the boundaries of knowledge and the state of the art in areas including language and vision for robotics.
• Partner with a multidisciplinary team including other research scientists and engineers across the ML team, TRI, Toyota, and our university partners.
• Stay up to date on the state-of-the-art in Machine Learning ideas.
• Present results in verbal and written communications, internally, at top international venues, and via open-source contributions to the community.
• Lead collaborations with our external research partners (e.g., Stanford, Berkeley, MIT) and mentor research interns.
• Bachelor’s or Master’s degree in a quantitative field (e.g. Computer Science, Mathematics, Physics, Engineering). Ph.D. in Machine Learning, Robotics, Control Theory, Computer Vision, or related fields preferred.
• Expertise in at least one key ML area.

Qualifications

• Consistent track record of publishing at high-impact conferences/journals (e.g., CoRL, ICLR, NeurIPS, ICML, UAI, RSS, ICRA, COLT, CDC, L4DC, CVPR, ICCV, ECCV, PAMI, IJCV, etc.) on some of the aforementioned topics.
• Proficiency with one or more coding languages and systems, preferably python, Unix, and a DL framework (e.g., PyTorch).
• Can identify, propose, and lead new research projects, working in collaboration with other researchers and engineers to complete it from initial idea to working solution.
• Passionate about ML research.
• A reliable teammate who loves to think big, go deeper and delivers with integrity.