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Apple AIML - ML Research Engineer Scientist United States, California, Cupertino 138492903
18.11.2024
Description
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.
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 ability to work with cross-functional teams.
Pay & Benefits
- At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $143,100 and $264,200, and your base pay will depend on your skills, qualifications, experience, and location.Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.
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