Apple Services Engineering (ASE) builds experiences that touch hundreds of millions of customers every day. From personalized recommendations to proactive intelligence and large-scale commerce systems, we are transforming how users discover, engage, and transact across the Apple ecosystem. The ASE AI/ML organization sits at the nexus of these systems—where deep applied research, advanced machine learning, and large language models converge to drive high-impact innovation at unprecedented scale.
Description
We are seeking a Senior Machine Learning Engineer with demonstrated expertise in Generative AI, LLM architectures, and advanced NLP systems. This role is ideal for a hands-on technical leader who has taken novel ideas from research inception to production deployment, and who thrives in environments where ambiguity, scale, and cutting-edge innovation intersect. Here, you won’t just push the boundaries of what’s possible today—you’ll define what’s next. What Sets This Role Apart This is not a narrow modeling position. You will influence and implement foundational intelligence capabilities across Apple Services—spanning language understanding, behavioral inference, discovery, and growth optimization—while operating with the autonomy and scope expected of senior technical leadership at Apple.
Minimum qualifications
Ph.D. in Computer Science, Machine Learning, NLP, Statistics, or a related field—or equivalent industry experience delivering production AI systems.
At least 6 years of experience in an applied research or machine learning role.
Expert knowledge of deep learning and modern NLP, including transformer architectures and foundation model adaptation.
Experience with LLM model development, including fine-tuning, instruction tuning, and prompt engineering for domain-specific reasoning.
Proficiency in Python and ML frameworks such as PyTorch or TensorFlow, with experience deploying models in production systems.
Strong understanding of distributed data processing systems (e.g., Spark) and large-scale experimentation.
Proven ability to communicate research outcomes, architectural decisions, and technical tradeoffs to technical and non-technical stakeholders.
Preferred qualifications
Hands on experience with retrieval-augmented generation (RAG) pipelines and vector-based semantic search systems.
Representation learning and semantic embeddings for clustering, categorization, and content understanding.
Model evaluation frameworks for language quality, relevance, hallucination, and safety.
Inference optimization techniques (quantization, distillation, model compression).
Understanding of reinforcement learning, policy alignment, or RLHF for improving interactive AI systems.
Experience developing personalization, ranking, or optimization algorithms at scale.
Proven experience in the architectural design and develop RL or multi-armed bandit experiment platform.
A record of publications in top-tier ML/AI venues or patent filings demonstrating novel research contributions.
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 $184,700 and $324,800, 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.