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Machine Learning Engineer

Apple· Machine Learning Platform Technology
Apply on company site
Sunnyvale, CA$216.2k - $324.8kFull-timePosted 1mo ago

About the role

Role focused on building and optimizing large-scale ML systems and foundation models at Apple. Work includes data curation, pre-training for LLMs/LMMs across domains, scalable model design and deployment, and contributing to state-of-the-art AI research and production infrastructure with a focus on privacy and high performance computing.

Responsibilities

  • Contribute to pre-training data curation for LLM development across all domains and modalities (eg: web, STEM, code, multilingual, image, audio, video)
  • Design, implement, and deploy scalable ML models for information extraction, data selection, and synthetic data generation over trillions of unstructured records
  • Design, execute, and analyze scientific experiments to advance our understanding of large language models
  • Independently lead small-scale research projects while contributing to cross-functional, larger-scale research initiatives
  • Accelerate workflows by building high-quality data tooling that improves data velocity, reliability, and scalability
  • Apply expertise in one or more of the following areas: multimodal generation and perception (text, image, video, or audio), OCR, data scaling laws, or data mixing

Qualifications

  • 4+ years of experience with large language models (LLMs), large multimodal models (LMMs), computer vision, or related AI/ML technologies
  • Experience developing and evaluating machine learning models, with a strong understanding of data and model quality
  • Strong programming skills and hands-on experience using one or more deep learning frameworks, such as PyTorch, TensorFlow, or JAX
  • Experience building large-scale machine learning systems and working with distributed data processing frameworks
  • Strong problem-solving skills with a results-oriented mindset
  • Experience leading rapid prototyping and proof-of-concept development for AI/ML applications
  • Master's degree or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or a related field, or equivalent industry experience
  • Experience developing or advancing state-of-the-art LLMs and/or LMMs
  • Experience with modern deep learning architectures, including Transformers, mixture-of-experts (MoE), and multimodal models
  • Experience deploying and scaling machine learning and deep learning models, including VLMs, for production-scale inference
  • Publications at leading AI conferences or demonstrated significant industry impact in AI

Skills

Required:Large language models (LLMs) and large multimodal models (LMMs)

Benefits

  • Comprehensive medical and dental coverage
  • retirement benefits
  • discounted products and free services
  • tuition reimbursement
  • opportunity for discretionary bonuses or commissions
  • relocation assistance
  • Apple shareholder programs (stock options/RSUs)
Last updated Sep 4, 2026. Interested? Apply on the company site.

About Apple

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.

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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