Generative AI Applied Scientist - Services Special Projects

Role Overview

Join our Apple Services Special Projects Team and help build the next generation of GenAI solutions for millions of people, upholding the user privacy and security that Apple customers know and expect!

Our team shapes the future of Apple's technologies, experiences, and services by building state-of-the-art models, infrastructure, and tools. If you want a collaborative environment where your expertise is valued, and you want to work on hard generative AI and retrieval problems that haven't been solved, this may be a role for you. We are especially interested in scientists who care about what and how models learn, and who use that understanding to make models more accurate, efficient, and robust.

Responsibilities

We are seeking a Machine Learning Scientist with a strong track record in applied AI research. You will train and improve the models behind large-scale search, retrieval, and ranking systems, and turn the latest research into production-ready models.

Requirements & Qualifications

Minimum Qualifications

PhD in Computer Science, Machine Learning, or a related field, or MS with 5+ years of applied ML research experience

Strong deep learning and NLP fundamentals, with hands-on experience training and fine-tuning transformer models Proficiency in PyTorch and strong Python programming skills Experience with post-training, fine-tuning, or representation learning for large models

Experience designing rigorous experiments and evaluations, and analyzing model behavior Demonstrated ability to turn research ideas into working systems

Preferred Qualifications

• Experience training embedding, retrieval, or reranking models (e.g., contrastive learning, late-interaction / ColBERT-style models, cross-encoders)
• Experience with parameter-efficient fine-tuning (LoRA, QLoRA, PEFT) and preference optimization (RLHF, DPO)
• Experience with distributed training (e.g., FSDP, DeepSpeed) and multi-GPU workloads Experience with inference engines and serving frameworks (vLLM, SGLang, Triton) Experience with model efficiency: quantization, pruning, distillation, or analysis of model internals

Experience with data-centric ML, such as data curation, data attribution, or training-data robustness

Familiarity with cloud environments (AWS or GCP) and containerization (Docker, Kubernetes)

Publications at top venues (e.g., NeurIPS, ICLR, ICML, CVPR, ACL), and service as a reviewer or program committee member

Compensation & Benefits

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. 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.

Application Instructions

Apply directly on Apple Jobs at Generative AI Applied Scientist - Services Special Projects↗.

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. Learn more about your EEO rights as an applicant