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Apple Imaging Scientist- Agentic AI United States, California, Sunnyvale 579233542
25.03.2025
Minimum Qualifications
- BS and a minimum of 3 years relevant industry experience.
Preferred Qualifications
- M.S. or PhD in Electrical Engineering/Computer Science or a related field (mathematics, physics or computer engineering), with a focus on computer vision and/or machine learning.
- Rich experiences in video machine learning covering one of the topics: Agentic AI / Video Generation / Video Generative Editing
- Publication record in relevant venues (e.g. NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, SIGGRAPH)
- Industry experiences with multi-modal foundation model and frameworks
- Knowledge and understanding of generative AI, multi-modal large language model, video caption
- Solid understanding of state-of-the-arts in Video Understanding and familiar with the challenges of developing algorithms that run efficiently on resource constrained platforms
- Proven prototyping skills and proficient in coding (C, C++, Python)
- Excellent written and verbal communications skills, be comfortable presenting research to large audiences, and have the ability to work hands-on in multi-functional teams
- Team oriented, result oriented, and self motivated
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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