Job Overview:
Apple is seeking a Principal ML Engineer/Scientist to lead technical directions in Image/Video/3D generation and Multimodal Foundation Models, requiring a strong technical background in machine learning, computer vision, and foundation models. The role involves driving roadmaps, proposing research plans, and providing technical mentorship while collaborating with cross-functional teams to advance products and delight millions of users. Candidates should have 5+ years of experience managing large ML engineering teams, excellent communication skills, and hands-on experience in data mining and curation, as well as proficiency in programming languages like Python, Go, Java, or C++. Preferred qualifications include a passion for product and user experience, systems engineering expertise, and a history of delivering innovation at scale.
>> View full job details on Apple’s official website.
Resume and Interview Tips:
When tailoring your resume for this Principal ML Engineer/Scientist role at Apple, focus on highlighting your leadership in Image/Video/3D generation and Multimodal Foundation Models. Emphasize your hands-on experience with these technologies, including specific projects where you’ve built or improved models. Detail your experience managing large teams of ML engineers, showcasing how you’ve driven mission execution and growth. Include metrics or outcomes from complex projects you’ve shipped, demonstrating your ability to deliver at scale. Your technical skills should be front and center, particularly your proficiency in Python, Go, Java, or C++, and your understanding of ML-based product lifecycles. Don’t forget to mention any cross-functional collaborations and how they contributed to product advancements. A strong resume will also reflect your systems engineering expertise and your ability to balance long-term vision with technical details.
For the interview, prepare to discuss your technical expertise in Image/Video/3D generation and Multimodal Foundation Models in depth. Expect questions about your hands-on experience with these technologies, including challenges you’ve faced and how you overcame them. Be ready to articulate your leadership style and how you’ve managed large teams, with examples of how you’ve driven execution and growth. The interviewer will likely probe your ability to collaborate across functions, so have stories ready about successful partnerships with other teams. You may also be asked about your approach to innovation and how you’ve delivered large-scale products or platforms. Practice explaining complex technical concepts clearly, as communication skills are a key requirement. Finally, prepare to discuss your long-term vision for the field and how you’ve executed strategies at scale while staying grounded in technical details.