Machine Learning Engineer, Answers Knowledge and Information - Proactive

Apple, Inc.; Cupertino (CA); Sur place; USD 150 000 - 278 000; Plein temps

Avantages offerts par ce poste

Employee stock programs

Medical and dental coverage

Retirement benefits

Discounted products and free services

Tuition reimbursement

Discretionary bonuses or commissions

Relocation

Résumé du poste

Apple is seeking a Machine Learning Engineer for the Answers Knowledge and Information - Proactive group in Cupertino. You will conduct research and develop large language models for open-domain QA, document summarization, and retrieval across Apple’s AI-powered products.

You will fine-tune domain-specific LLMs, explore safety and factual accuracy improvements, and collaborate with researchers and data scientists to bring cutting-edge generative AI to production.

Qualifications

• Experience modeling user behavior, personalization, online learning, and recommendations.
• Experience with ML/LLM development for NLP tasks and RAG, including data gathering and fine-tuning.
• Proficiency in Python and DL frameworks such as TensorFlow, PyTorch, or JAX.

Responsabilités

• Research state-of-the-art deep learning and LLMs for Apple AI products.
• Develop domain-specific LLMs for NLP tasks like summarization and QA.
• Transfer research to production-ready tech for generative AI.
• Translate product requirements into modeling and engineering tasks.
• Stay current with advances in deep learning and LLMs.

Connaissances

Personalization & online learning

NLP/RAG & prompt engineering

Python + DL frameworks

Formation

PhD in CS/AI/ML or related

Description du poste

Machine Learning Engineer, Answers Knowledge and Information - Proactive

Cupertino, California, United States Machine Learning and AI

The Information Intelligence team is creating groundbreaking technology for artificial intelligence, machine learning and natural language processing! The features we create are redefining how hundreds of millions of people use their computers and mobile devices to search and find what they are looking for. Our universal search engine powers search features across a variety of Apple products, including Siri, Spotlight, Safari, Messages and Lookup. We also develop state‑of-the‑art generative AI technologies based on Large Language Models to power innovative features in both Apple’s devices and services on the cloud. As part of this group, you will be doing large scale machine learning and deep learning research and development to improve Open Domain Question Answering (using both structured knowledge graph data and unstructured web data) and Summarization as well as developing fundamental building blocks needed for Artificial Intelligence. This involves developing 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. Additionally, you will research and develop the state‑of-the‑art LLMs for summarizing personal data such as emails, messages, and notifications. You will also 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 and conduct applied research to transfer the cutting edge research in generative AI to production ready technologies.

Description

As a member of our fast‑paced group, you’ll have the unique and rewarding opportunity to shape upcoming products from Apple. We are looking for highly motivated machine learning engineers and researchers having strong machine learning and deep learning fundamentals with hands‑on experience in fine‑tuning deep learning and large language models.

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

Minimum Qualifications

• 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 Qualifications

• 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
• 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

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $150,400 and $277,600, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.