Apple · 1 day ago
Machine Learning Engineer - Large Language Models, Generative AI & Agentic Systems
CA
Full-time
Onsite
Senior LevelApple is seeking a driven Machine Learning Engineer to join their Intelligence Platform team, which focuses on user-centric knowledge and inferences. The role involves translating research into production systems, influencing technical direction, and shaping the future of AI at Apple.
AppsArtificial Intelligence (AI)BroadcastingConsumer ElectronicsDigital EntertainmentMedia and EntertainmentMobile DevicesOperating SystemsTVWearables
Responsibilities
Leading exploration and application of LLMs, Generative AI, and emerging agentic AI techniques (e.g., tool-use models, model-driven planning, task decomposition)
Translating the latest research into high-performing, production-ready ML systems that enhance user experiences across Apple products
Helping define the technical direction for LLM-driven and agentic AI capabilities within the Intelligence Platform
Contributing to all phases of model development-problem formulation, experimentation, evaluation, fine-tuning, deployment, and continuous improvement
Collaborating cross-functionally to design and implement ML solutions, ensuring alignment with product goals, privacy requirements, and performance metrics
Driving innovation by identifying opportunities to incorporate advanced reasoning, grounding, or agentic patterns into existing ML systems
Qualification
Required
Advanced degree (Master's or Ph.D.) in Computer Science, Machine Learning, Artificial Intelligence, or a related field
Strong experience in Machine Learning, with emphasis on LLMs, Generative AI, or large-scale deep learning systems
Demonstrated ability to read, interpret, and apply cutting-edge research to real-world engineering problems
Experience with model training, fine-tuning, or building scalable ML systems
Strong programming and problem-solving skills
Preferred
Familiarity with agentic AI, structured tool-use models, or multi-turn reasoning systems. (Not required-experience is a plus, and interest in the domain is highly valued.)
Hands-on experience with end-to-end LLM development: dataset curation, fine-tuning, evaluation, prompt optimization, or model hosting
Published research demonstrating contributions to LLMs, Generative AI, or related subfields
Ability to guide technical direction, mentor others, and collaborate effectively in a fast-paced environment
Company
Apple
Apple is a technology company that designs, manufactures, and markets consumer electronics, personal computers, and software.
Founded in 1976
10001+ employees
H1B Sponsorship
Apple has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (6998)
2024 (3766)
2023 (3939)
2022 (4822)
2021 (4060)
2020 (3656)
Funding
Current Stage
Public CompanyTotal Funding
$5.67BKey Investors
Berkshire HathawayMicrosoftSequoia Capital
2025-05-05Post Ipo Debt· $4.5B
2025-01-16Post Ipo Debt· $0.31M
2021-04-30Post Ipo Equity
Leadership Team
Tim Cook
CEO
Craig Federighi
SVP, Software Engineering
Recent News
Venrock
2025-12-01
2025-09-25
Mac Daily News
2025-09-25
Company data provided by crunchbase