Machine Learning Engineer, Answers Knowledge and Information - Proactive

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

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 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

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

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 $175,000 and $308,500, 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. Learn more about Apple Benefits

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