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Machine Learning Engineer, Apple Search & Knowledge Platforms

Apple· Santa Clara / Knowledge Quality Team (Apple Search & Knowledge Platforms)
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Hybrid (Santa Clara, California, United States)$150.4k - $277.6kFull-timePosted 4mo ago

About the role

Machine Learning engineer role focused on large-scale data management, ML systems over graph data, and knowledge extraction to power Q&A for Siri and Knowledge features. Involves building Gen AI components at scale, working with high-performance computing, and delivering search and knowledge capabilities to hundreds of millions of users.

Responsibilities

  • Design and develop features for a platform that touches upon large-scale data management, machine-learning systems over graph data, and knowledge extraction over semi-structured and unstructured data feeds.
  • Build state-of-the-art Gen AI components at scale to power question answering for Siri.
  • Work with a team of experts on Large-Scale Data Management and Machine Learning Systems.
  • Push the boundaries of Knowledge Question Answering in Siri.

Qualifications

  • PhD or Graduate degree with research/work experience in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or related field
  • Experience in Natural Language Processing including RAG based Generative AI and transformer architecture
  • Excellent programming skills in Python, Scala, and Go
  • Experience with Machine Learning Frameworks such as PyTorch and TensorFlow
  • Working experience with NLP and Large Language Models
  • Experience with large data sets and pipelines, ideally using Apache Spark
  • Broad knowledge of computer science and systems; ability to quickly learn new domains
  • Excellent problem-solving and analytic skills
  • Good interpersonal skills and teamwork
  • Passion for building phenomenal products and curiosity to learn

Skills

Required:PythonScalaPyTorchNLP / Large Language ModelsLarge-scale data pipelines
Nice to have:GoTensorFlowRAG-based Generative AI

Benefits

  • Comprehensive medical and dental coverage
  • Retirement benefits
  • Discounted products and free services
  • Educational expense reimbursement
  • Discretionary bonuses or commission payments (potential)
  • Relocation assistance
Last updated Oct 2, 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.

AirPods Max 2Apple ArcadeApple CardApple Fitness+Apple MusicApple TVApple TV+Apple Watch Series 11
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