Software Engineer, Generative AI & ML
Apple· Machine Learning and AI
Hybrid (Singapore)Full-timePosted 6mo ago
About the role
Contribute to a multi-turn, conversational, agentic LLM-based platform for Apple customer support. Collaborate with engineers, data scientists & researchers to enhance a multi-modal, multi-agent system, focusing on latency, cost, and customer experience.
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.
- 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.
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)
- 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
- Strong experience partnering with business and engineering teams to deliver AI solutions
- Bachelor's or Master's degree in Computer Science, Machine Learning, or related field, or equivalent practical experience
Skills
Required:Hands-on ML, backend engineering, or data engineeringTraining, fine-tuning, or evaluating LLMsRAG architectures & vector-based retrievalDeep learning frameworks (PyTorch, TensorFlow, or JAX)Data preprocessing and tokenizationML libraries (transformers, datasets)Cloud deploymentCross-functional collaborationEducation
Nice to have:Multi-agent orchestration (Rust, Python)Chinese-language LLMs for Greater China
Last updated Aug 28, 2026. Interested? Apply on the company site.
About Apple
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Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.
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