Machine Learning Engineer, Computer Vision Algorithm (Video Understanding)

Job Description

Summary

Posted: Oct 24, 2024 Weekly Hours: 40 Role Number: 200321942 If you are the kind of people who are passionate on pursuing excellence, embracing challenges, enjoying work with others, learning new things along the way, Apple is the right place for you. The ideal candidate will possess the self-motivation, curiosity, and initiative to achieve those goals. Analogously, the candidate is a lifelong learner who passionately seeks to improve themselves and the quality of their work.

Description

Description The computer vision algorithm engineer will work in a dynamic team as part of the Video Computer Vision org. which develops on-device computer vision and machine perception technologies across Apple’s products. We balance research and product to deliver the highest quality, state-of-the-art experiences, innovating through the full stack, and partnering with cross-functional teams to influence what brings our vision to life and into customers hands.

Minimum Qualifications

Minimum 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: Video Understanding / Video Foundation Model / Multi-modal LLM
• 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

Key Qualifications

Key Qualifications

Preferred Qualifications

Preferred Qualifications

• 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
• Team oriented, result oriented, and self motivated
• Apple is an equal opportunity employer that is committed to inclusion and diversity, and thus we treat all applicants fairly and equally. Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.

Education & Experience

Education & Experience

Additional Requirements

Additional Requirements More