Apple · 2 days ago
AIML - Staff Machine Learning Engineer, Answers Knowledge and Information
Cupertino, CA
Full-time
Onsite
Lead/Staff
$212K/yr - $386K/yr
10+ years expApple is creating groundbreaking technology for artificial intelligence, machine learning, and natural language processing. The Staff Machine Learning Engineer will engage in large scale research and development to enhance Open Domain Question Answering and Summarization, while developing advanced machine learning models and collaborating with cross-functional teams.
AppsArtificial Intelligence (AI)BroadcastingDigital EntertainmentFoundational AIMedia and EntertainmentMobile DevicesOperating SystemsTVWearables
Responsibilities
Develop large scale machine learning and deep learning research and development to improve Open Domain Question Answering and Summarization
Develop sophisticated machine learning and large language models (LLMs) to understand user queries, retrieve and rank relevant documents across multiple sources and synthesize information across documents to provide user with a direct answer that best satisfies their intent and information seeking needs
Research and develop state-of-the-art LLMs for summarizing personal data such as emails, messages, and notifications
Work with researchers and data scientists to develop, fine-tune, and evaluate domain specific Large Language Models for various tasks and applications in Apple’s AI powered products
Conduct applied research to transfer the cutting edge research in generative AI to production ready technologies
Qualification
Required
10 years of work experience in machine learning, deep learning or related field
Experience in modeling user behavior including personalization, online learning and recommendation systems
Experience working with machine 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 2 years 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 10 years of experience leading complex cross-functional projects and influencing research direction
At least 10 years of experience with large-scale model training, optimization, and deployment
Consistent track record of researching, inventing and/or shipping advanced machine learning models
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