Summary
Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish.
The Customer Systems - Gen AI Solutions team is responsible for building multi-turn, conversational, agentic LLM-based applications and frameworks to support Apple customers across numerous lines of business. You’ll be contributing hands on to a team that consists of engineers, data scientists & researchers to enhance a multi-modal, multi-agent platform with a key focus on incorporating the latest models and advancements to improve, latency, cost and customer experience. This is an incredible opportunity to contribute innovation & research to a well established generative AI platform within Apple. There is a huge amount of opportunity and growth within this space!
Description
- 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.
- Prototype and benchmark multi-round agentic solutions for conversational knowledge-intensive tasks.
- 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.
- Collaborate with product and business stakeholders to incorporate customer experience requirements into AI solutions.
- Support localization and rollout of AI features across multiple markets.
Minimum Qualifications
- 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
Preferred Qualifications
- Strong experience partnering with business and engineering team to deliver AI solutions.
- Bachelor's or Master's degree in Computer Science, Machine Learning, or related field, or equivalent practical experience.