Apple

Senior Machine Learning Engineer, Proactive

Apple Santa Clara, CA, US
Full-time $184k - $324k Posted about 3 hours ago

Role overview

At Apple, machine learning powers experiences that anticipate what people need before they ask. We're looking for a Machine Learning Engineer to help build the next generation of intelligent search and AI experiences technology that understands user intent, context, and personal information while preserving privacy. In this role, you'll design, train, optimize, and deploy large language models, semantic retrieval systems, and ranking models that power relevant, personalized, context-aware search across Apple's ecosystem. You'll work at the intersection of search, retrieval, natural language processing, on-device AI, and generative AI to shape the future of intelligent assistants and proactive experiences..

Responsibilities

  • check_circle Design, train, fine-tune, and optimize transformer-based language models for efficient on-device deployment.
  • check_circle Build semantic retrieval, embedding, reranking, and retrieval-augmented generation systems, along with models for query understanding, intent prediction, personalization, and ranking.
  • check_circle Research and prototype approaches for on-device generative AI, including model compression, quantization, knowledge distillation, and low-latency inference.
  • check_circle Analyze search relevance and user behavior to design evaluation methodologies, offline benchmarks, and online metrics that measure retrieval quality, ranking, and language model performance.
  • check_circle Partner with engineers, researchers, product managers, and designers to bring AI capabilities from research into production, driving technical strategy across projects and exploring new applications of foundation models, multimodal AI, and agentic retrieval.

Basic qualifications

  • Bachelor's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
  • 5+ years of industry or research experience developing machine learning systems.
  • Background in machine learning, deep learning, natural language processing, information retrieval, search, recommender systems, or generative AI.
  • Experience training, fine-tuning, or deploying transformer-based models and large language models.
  • Programming skills in Python and/or C/C++, with experience building production-quality software using modern machine learning frameworks such as PyTorch, JAX, or TensorFlow.

Benefits

  • check_circle At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $184,700 and $324,800, and your base pay will depend on your skills, qualifications, experience, and location.
  • check_circle Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs.
  • check_circle Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan.
  • check_circle You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition.
  • check_circle Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.

Tags & Focus Areas

Ai Machine Learning Nlp Generative Ai

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