Apple · 4 months ago
AIML - Machine Learning Engineer, Siri and Information Intelligence
Cupertino, California, United States
Full-time
Onsite
Mid, Senior Level
$147K/yr - $272K/yr
4+ years expApple is a leading technology company focused on creating innovative products and services. The AIML Information Intelligence team is responsible for developing advanced technologies in artificial intelligence and machine learning, specifically for enhancing user interactions through products like Siri and other Apple services.
AppsArtificial Intelligence (AI)BroadcastingDigital EntertainmentFoundational AIMedia and EntertainmentMobile DevicesOperating SystemsTVWearables
Responsibilities
Conduct research and development on state-of-the-art deep learning and large language models for various tasks and applications in Apple’s AI-powered products
Developing, fine-tuning, and evaluating domain-specific Large Language Models for various NLP tasks including summarization, question answering, search relevance/ranking, entity linking and query understanding problems
Conducting applied research to transfer the cutting edge research in generative AI to production ready technologies
Understanding product requirements, translate them into modeling tasks and engineering tasks
Stay up to date with the latest advancements and research in deep learning and large language models
Qualification
Required
Master's in Computer Science, Artificial Intelligence, Machine Learning, or a related field
Experience working with Deep learning or LLM model development for various NLP tasks and RAG applications including prompt engineering, training data collection and generation, model fine-tuning and model evaluation
Experience working with Python and at least one of the deep learning frameworks such as TensorFlow, PyTorch, or JAX
Preferred
PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field
At least 1 year of experience in various state-of-the-art techniques related to LLM fine-tuning in 1 or more of the following areas: Supervised Fine-tuning (SFT) with Rejection Sampling, Preference-based fine-tuning techniques (e.g RLHF, Reward model, DPO, PPO, GRPO etc.), Parameter efficient fine-tuning techniques (e.g LoRA), Hallucination reduction and factual accuracy improvements, Designing and implementing safety guardrails
At least 4 years of experience with large-scale model training, optimization, and deployment
One or more scientific publications in various conferences and journals
Outstanding communication and interpersonal skills with ability to work with cross-functional teams
Benefits
Comprehensive medical and dental coverage
Retirement benefits
A range of discounted products and free services
Reimbursement for certain educational expenses — including tuition
Discretionary bonuses or commission payments
Relocation
Company
Apple
Apple is a technology company that designs, manufactures, and markets consumer electronics, personal computers, and software.
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