About the role
AI summarisedJoin the Customer Systems - Gen AI Solutions team at Apple to build multi-turn, conversational, agentic LLM-based applications and frameworks. You will contribute hands-on to enhancing a multi-modal, multi-agent platform by incorporating the latest models and advancements to improve latency, cost, and customer experience.
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, or 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.
- Experience deploying to cloud environments (AWS, GCP).