AIML - Sr. Machine Learning Engineer, World Knowledge

Apple • Cupertino, CA

69d • $212,000 - $386,300

About The Position

Are you excited about Generative AI and Large Language Models and eager to apply your expertise in a fast-paced, innovative environment? Join a newly created team in AIML focused on building world-class experiences to bring Apple's deep expertise in world knowledge to life. Our team's mission is to foster curiosity and exploration, facilitate learning, and enhance decision-making through innovative products that leverage machine learning at their core. We are seeking a highly motivated, exceptional senior applied research engineer with experience in bringing the latest research to life in stunning, visually immersive products. You'll advance and apply the latest ML techniques to craft a meaningful experience for millions of users worldwide through both rapid prototyping and experimentation — then bring the best of those experiences to users around the world.

Requirements

• BSc in Computer Science, Machine Learning, or related field.
• 10+ years proven experience leading ML/AI initiatives and teams.
• Technical expertise in machine learning, particularly in generative AI, traditional ML, and knowledge graphs.
• Experience managing rapid prototyping and proof-of-concept development in ML/AI.
• Proficiency in modern ML frameworks and tools (e.g., PyTorch, TensorFlow).
• Experience leading cross-functional technical teams.

Nice To Haves

• Master's degree or Ph.D. in Computer Science, Machine Learning, or related field.
• Strong understanding of ML operations, including model development, evaluation, and deployment.
• Outstanding project and program management capabilities.
• Track record of building strong partnerships with business collaborators.
• Exceptional communication skills.
• Results-driven with excellent analytical and problem-solving abilities.
• Experience with large-scale ML deployments in customer service environments.
• Deep understanding of responsible AI practices and model governance frameworks.

Responsibilities

• Develop end-to-end solutions from data scaling to model implementation and training.
• Collaborate with multidisciplinary engineering teams to bring research to production.
• Lead ML/AI initiatives and teams in a fast-paced environment.
• Manage rapid prototyping and proof-of-concept development in ML/AI.
• Communicate complex ML concepts to various audiences.

Benefits

• Comprehensive medical and dental coverage.
• Retirement benefits.
• Discounted products and free services.
• Reimbursement for certain educational expenses, including tuition.
• Discretionary bonuses or commission payments.
• Relocation assistance.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Computer and Electronic Product Manufacturing
• Education Level: Bachelor's degree