Apple is building the foundation for intelligent, adaptive AI systems, including multi-agent platforms, RAG pipelines, and advanced evaluation and reasoning frameworks. They are looking for a Senior Applied ML Engineer to design, build, and scale machine learning systems that power next-generation AI applications, enabling AI systems to perceive, reason, and act in dynamic, real-world contexts.
Requirements
- 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
- Experience with LLM-based systems, RAG pipelines, or AI agent frameworks
- Familiarity with MLOps tools (e.g., MLflow, Weights & Biases, Ray, Airflow)
- Knowledge of evaluation methodologies for generative or agentic AI
Responsibilities
- 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.
- 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
- bridge research and engineering bringing rigor, scalability, and real-world validation to the way we build intelligent systems.
Other
- 7+ years of experience in ML engineering, software engineering or applied AI roles
- Strong communication, documentation, and collaboration skills
- Proven ability to move between research-driven prototyping and production-scale engineering
- Enthusiasm for emerging areas like multimodal AI, reasoning agents, and AI safety evaluation
- Apple is an equal opportunity employer that is committed to inclusion and diversity.
