About the role

AI summarised

The Software Engineer, Generative AI & ML role at Apple involves contributing to the development and optimization of generative AI systems, including model fine-tuning, retrieval-augmented generation, and multi-agent architectures. The position focuses on enhancing customer-facing AI solutions through collaboration with data scientists, engineers, and product teams, with a strong emphasis on scalability, latency, cost, and user experience. The role requires hands-on experience in ML engineering, LLM operations, and deployment in cloud environments, particularly for the Greater China market.

TechnologyOnsite

Key Responsibilities

Contribute to model development and fine-tuning workflows for generative AI features
Design and evaluate retrieval strategies for grounding large models in product-relevant data
Partner with data and platform engineers to ensure scalable deployment and monitoring
Stay current with advancements in large language modeling, vector search, RAG, and LLM Agents
Participate in architecture discussions with engineers and partner teams
Support localization and rollout of AI features across multiple markets

Requirements

5+ years of hands-on experience in ML, backend engineering, data engineering
1-2 years of hands-on experience in training, fine-tuning, or evaluating LLMs
Foundational understanding of RAG architectures and vector-based retrieval systems
Exposure to multi-agent orchestration frameworks in Rust and Python
Familiarity with modern deep learning frameworks such as PyTorch, TensorFlow, or JAX
Experience with data preprocessing, tokenization, and pipeline automation
Proficiency in machine learning libraries (transformers, datasets)
Strong problem-solving and collaboration skills, with the ability to learn quickly and adapt to production-grade systems
Experience working with Multi-modal LLMs to enable Voice capabilities is a plus or prior experience with STT, TTS systems
Experience with deploying to cloud environments (AWS, GCP, on-remote hybrid) is required
Experience in training, fine-tuning, or evaluating LLMs in Chinese for Greater China market
Fluency in written and spoken Chinese to support the Greater China market
Bachelor's or Master's degree in Computer Science, Machine Learning, or related field, or equivalent practical experience
Strong experience partnering with business and engineering team to deliver AI solutions