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Machine Learning Engineer, Apple Search & Knowledge Platforms

Apple· Machine Learning and AI
Apply on company site
Hybrid (Seattle, WA)$142.3k - $263.3kFull-timePosted 1mo ago

About the role

The Knowledge Quality team at Apple builds large-scale ML solutions for Knowledge Q&A powering Siri and Spotlight. You will design and develop features for a platform handling petabytes of data, millions of queries per second, and contribute to product evolution through evaluation and user-impact analysis.

Responsibilities

  • Design and develop features for a platform that touches upon large-scale data management, machine-learning and deep learning systems over graph data and web documents.
  • Inform product evolution through measurement, evaluation, and analysis of the user experience.
  • Partner with cross-functional teams to change how hundreds of millions of people use search to find information.
  • Work with a high-performance computing environment to build production ML/AI systems.
  • Collaborate with product, engineering, and data science teams.

Qualifications

  • MS/PhD in Computer Science, Machine Learning, or related field (MS with 2+ years or PhD with any relevant level) or equivalent experience
  • Proficiency in Python, Scala, and Go
  • Experience building and maintaining large-scale data systems, knowledge graphs, and end-to-end ML pipelines in production (ideally with Apache Spark)
  • Hands-on experience with PyTorch or TensorFlow in production
  • Experience with NLP, statistical data analysis, and model evaluation methodologies
  • Demonstrated ability to collaborate with cross-functional teams including product, engineering, and data science
  • Experience with CI/CD pipelines, model deployment, and monitoring solutions
  • MS with 6+ years or PhD with 3+ years in production ML environments (for senior track)
  • Proven ability to design, deploy, and maintain large-scale distributed ML systems serving millions of QPS
  • Experience with A/B testing, experimentation frameworks, and data-driven product iteration at scale
  • Experience designing human-in-the-loop evaluation pipelines and leveraging user feedback to improve model performance
  • Hands-on experience with LLM deployment, prompt engineering, fine-tuning, RAG, or other generative AI technologies in production
  • Experience building model monitoring, observability, and QA systems for production ML services
  • Experience optimizing ML systems for latency, throughput, and cost at scale
  • Track record of shipping ML-powered features improving user experience in consumer products
  • Strong product intuition and ability to translate business requirements into technical solutions

Skills

Required:PythonScalaGoSparkPyTorchNLPModel EvaluationCI/CDA/B TestingDistributed ML Systems
Nice to have:TensorFlowLLM Deployment

Benefits

  • Comprehensive medical and dental coverage
  • retirement benefits
  • discounted products and free services
  • reimbursement for certain educational expenses including tuition
  • discretionary bonuses or commission payments may be eligible
  • relocation assistance programs
  • employee stock program opportunities (RSU, stock purchase plan)
Last updated Sep 18, 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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