Machine Learning Engineer, GenAI & LLM, IS&T AiDP

Imagine what you could do here. At Apple, revolutionary ideas have a way of becoming extraordinary products, services, and customer experiences. Join the Ai Data Platform Applied Machine Learning team to pioneer enterprise solutions where generative AI meets Apple's unique commitment to privacy-first innovation. Together, we'll create tools that redefine industries while safeguarding what matters most - our users' trust.

Description As a pivotal member of Apple's enterprise generative AI efforts, you will: - Innovate training pipelines using cutting-edge distributed systems and hardware-aware optimization - Partner with cross-functional teams to translate groundbreaking research into user-centric products - Tackle unique challenges in privacy-preserving generation, efficient inference, and multimodal integration - Deliver production-grade models that meet Apple's rigorous standards for quality, performance, and scalability

Minimum Qualifications

• Bachelor of Science in Computer Science, Machine Learning, or a related quantitative field or equivalent experience
• 5+ years of hands-on experience in machine learning engineering, with 2+ years focused on generative AI and LLM technologies, and Agentic workflows
• Expertise in Python and ML frameworks (PyTorch, JAX) for training, fine-tuning, and deploying generative models at scale
• Proven track record of building enterprise-grade ML pipelines (data prep, distributed training, optimization, monitoring) in cloud environments (AWS, Google Cloud Platform, Azure) or on-prem infrastructure
• Deep understanding of transformer architectures, prompt engineering, retrieval-augmented generation (RAG), and LLM evaluation methodologies
• Solid grasp of NLP techniques, multimodal AI (text, image, code), and agent workflows.
• Experience optimizing models for latency, cost, and scalability (quantization, distillation, hardware-aware ML)

Preferred Qualifications

• MS or PhD in Computer Science, Machine Learning, or a related quantitative field
• Experience with LLM Agentic workflows and framework (Langchain, LangGraph, LlamaIndex, CrewAI etc.)
• Background in compiler/runtime optimizations for machine learning workloads
• Contributions to major open-source ML frameworks or research communities

Pay & 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 $175,800 and $312,200, 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.

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 .