Senior ML Engineer: Generative AI & LLM Systems Architect

Apple Inc.; Cupertino (CA); Hybride; USD 185 000 - 325 000; Plein temps

Résumé du poste

Apple Inc. is seeking a Senior Machine Learning Engineer with expertise in Generative AI, LLM architectures, and advanced NLP. You will lead hands-on research from ideas to production, shaping foundational intelligence across Apple Services.

You will architect and deploy LLM-powered systems, guide RAG and representation learning, optimize inference, collaborate with cross-functional teams, and contribute to patents and publications while mentoring others.

Qualifications

• Ph.D. in Computer Science, ML, NLP, Statistics, or 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.

Responsabilités

• Architect, design, and deploy LLM-powered systems for personalization and user understanding across Apple’s services ecosystem.
• Lead research in large-scale representation learning, semantic modeling, and retrieval-augmented generation (RAG).
• Develop embeddings and model architectures to disentangle complex user/content behaviors in high-dimensional data.
• Drive LLM fine-tuning, evaluation, safety alignment, and optimization for production.
• Explore parameter-efficient adaptation, multi-agent orchestration, active learning, RLHF, and inference optimization.
• Collaborate with engineering, product, and design to turn ambiguous problems into robust ML solutions.
• Build prototypes and production-grade systems for reasoning over text, signals, and domain knowledge at scale.
• Contribute to Apple’s AI leadership via patents, publications, and internal thought leadership.
• Mentor researchers to improve experimentation, code quality, and communication of results.

Connaissances

Deep learning

NLP

LLM architectures

Python

Distributed systems

Model deployment

Research leadership

Formation

Ph.D. in Computer Science or related field

Equivalent industry experience

Outils

PyTorch

TensorFlow

Spark

MLflow

Description du poste

Apple Inc. is seeking a Senior Machine Learning Engineer with expertise in Generative AI, LLM architectures, and advanced NLP. You will lead hands-on research from ideas to production, shaping foundational intelligence across Apple Services.

You will architect and deploy LLM-powered systems, guide RAG and representation learning, optimize inference, collaborate with cross-functional teams, and contribute to patents and publications while mentoring others.