Role overview
As a Senior Applied Machine Learning Engineer, you will:
Design and implement core systems that enable scalable development and deployment of AI applications including agent platforms, RAG frameworks, and adaptive ML services.
Build reusable infrastructure for model training, evaluation, and inference emphasizing observability, reproducibility, and modularity.
Collaborate cross-functionally with product, infra, and research teams to translate AI concepts into production-ready systems.
Develop intelligent tooling for data processing, simulation, and experimentation to accelerate applied AI innovation.
Contribute to architectural direction for our broader AI ecosystem designing for flexibility across future projects.
Prototype new capabilities using large language models, retrieval systems, and agentic workflows.
Partner with infrastructure and product teams to operationalize new AI capabilities
You’ll help bridge research and engineering bringing rigor, scalability, and real-world validation to the way we build intelligent systems.
What we're looking for
7+ years of experience in ML engineering, software engineering or applied AI roles
Solid understanding of machine learning fundamentals, especially around large models, embeddings, and retrieval systems
Proven experience building production-grade ML systems or intelligent data-driven products
Strong background in distributed systems, APIs, and scalable data/compute infrastructure
Hands-on experience with ML frameworks such as PyTorch, TensorFlow, or JAX
Strong communication, documentation, and collaboration skills
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 .