AIML - Engineering Project Manager

Summary Posted: Jan 10, 2024 Weekly Hours: 40 Role Number: 200530019 Imagine what you could do here! At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Combining groundbreaking machine learning research with next-generation hardware, our teams take user experiences to the next level. We are offering and amazing opportunity to be a part of the AIML Product/Program Management Team. As an AI/ML PM you will be responsible for working with AI/ML, Operations, Manufacturing and Hardware engineering teams to facilitate deployment of cutting edge machine learning capabilities to Apple factory operations and to Apple hardware design. Key Qualifications Key Qualifications The ideal candidate will need to have 5+ years of hands-on experience in design and development of manufacturing processes and/or equipment for high volume precision manufacturing environment Experience with AIML algorithms and methodologies. Experience deploying machine learning techniques in a high volume precision manufacturing environment is strongly preferred. Experience managing and track record of successfully delivering on large complex projects involving multiple cross functional teams (Operations, Manufacturing, HW Engineering, Machine learning) Excellent written and verbal Chinese and English communication skills are required. Excellent communication & interpersonal skills, both in Chinese & English Description Description We’re perfectionists, idealists, inventors. Forever tinkering with products, processes and experiences, always on the lookout for better. Are you someone who’s looking to be a part of a team that wants to change the world? Do you possess a passion to think differently and challenge conventional approaches to problem solving? At Apple, we’re focused on building great products that are beautiful, innovative, and help our customers improve their quality of life. You will work closely with multiple Apple cross functional teams (AI/ML, Operations, Manufacturing, HW Engineering) and external partners to develop, deploy and scale machine learning solutions to improve manufacturing capabilities and efficiency. You will align on and manage requirements, roadmaps, timelines and deliverables. You will influence cross-functional teams to deliver on complex projects in a timely fashion. Education & Experience Education & Experience MS or Ph.D. degree in Mechanical Engineering, Electrical Engineering, Materials Science, Chemistry/Chemical Engineering, Physics or other similar field. Additional Requirements Additional Requirements - Experience in AOI for high volume manufacturing. - Experience bringing new products and new technologies into high volume manufacturing preferred. - Demonstrated track record of working effectively with multiple cross functional teams.