Our team is looking for a roboticist to work with a collaborative team of researchers within Appleās AIML organization. This team is working to leverage and build upon groundbreaking
ML robotics research, thereby enabling development of generalizable and reliable robot systems.
Duties associated with this position include conducting collaborative research on a variety of robotics platforms. A core component of such duties will include development of brand new machine learned control policies such as Video Language Action models, Imitation Learning, Reinforcement Learning. Part of this development will include intelligent data collection and evaluations.
Ph.D. in computer science, engineering, or relevant degree.Experience programming innovative ML robot control policiesExperience with generative AI models, e.g. Transformers, LLMs, VLMs, VLAs, diffusion models, etc.Experience with robotics data collection for training models.Understanding of modeling and analysis used in robotics – including kinematics, dynamics, motion planning, perception, task planning, and control theory.Experience working with robot manipulation