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Software Engineer, Generative AI & ML

Apple· Machine Learning and AI
Apply on company site
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.

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