Apple Inc.
AIML - ML Research Engineer or Scientist
Apple Inc., Cupertino, California, United States, 95014
AIML - ML Research Engineer or Scientist
Our team is looking for a roboticist to work with a collaborative team of researchers within Apple’s AIML organization. This team is working to leverage and build upon groundbreaking ML robotics research, thereby enabling the development of generalizable and reliable robot systems. Description Duties associated with this position include conducting collaborative research on a variety of robotics platforms. A core component of such duties will include the development of brand new machine learned control policies such as Video Language Action models, Imitation Learning, and Reinforcement Learning. Part of this development will include intelligent data collection and evaluations. Minimum Qualifications Ph.D. in computer science, engineering, or relevant degree. Experience programming innovative ML robot control policies. Experience 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. Preferred Qualifications Consistent track record of researching, inventing, and/or shipping advanced machine learning models. Outstanding communication and interpersonal skills with the ability to work with cross-functional teams.
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Our team is looking for a roboticist to work with a collaborative team of researchers within Apple’s AIML organization. This team is working to leverage and build upon groundbreaking ML robotics research, thereby enabling the development of generalizable and reliable robot systems. Description Duties associated with this position include conducting collaborative research on a variety of robotics platforms. A core component of such duties will include the development of brand new machine learned control policies such as Video Language Action models, Imitation Learning, and Reinforcement Learning. Part of this development will include intelligent data collection and evaluations. Minimum Qualifications Ph.D. in computer science, engineering, or relevant degree. Experience programming innovative ML robot control policies. Experience 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. Preferred Qualifications Consistent track record of researching, inventing, and/or shipping advanced machine learning models. Outstanding communication and interpersonal skills with the ability to work with cross-functional teams.
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