MLPM - Machine Learning Project Manager
Confirmed on the employer's own hiring board on Nov 10, 2026. First seen by Alion on Oct 27, 2026. Apple scores A on the Alion truth index.
Imagine what you could do here! At Apple, new insights have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The people here at Apple don’t just build products - they craft the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple and help us leave the world better than we found it.
Description
The Manufacturing Design team enables the mass production of Apple's entire product line you can think of. Part of the magic that makes all this possible is a robust set of applications and systems designed and developed by Apple that support a product’s journey from prototype to launch and beyond. As a member of MDS (Manufacturing Design Systems), the system you will work on is a critical part of manufacturing at Apple.
Your work will have a significant impact on Apple’s products. This role is responsible for the implementation of software system and solution using within the enclosure manufacturing process and the broader Manufacturing Design organization. Your contribution will ensure that our operational needs are met, boosting greater efficiency, simplicity, cost savings, quality, standardization, and scalability.
Minimum Qualifications
BS/MS in Computer Science, Data Science, Industrial Engineering, Operation Research, Statistics, Control Science & Engineering or equivalent with 3+ years of technical program management or engineering delivery experience.
Practical experience delivering applied machine learning, operations research (OR), or data-driven optimization systems into real production.
Preferred Qualifications
Domain Experience: Experience with constraint programming , heuristic algorithms, or predictive models applied to supply chain, factory scheduling, yield improvement, etc.
Operations Acumen: Familiarity with manufacturing processes, tolerance analysis, or quality control methodologies
Cross-functional Collaboration: Demonstrated track record of lead and collaborate with diverse technical and operational stakeholders.
Agility & Travel: Comfortable navigating ambiguity in dynamic NPI (New Product Introduction) and MP (Mass Production) schedules. Willingness to travel to manufacturing sites as needed.