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Sr. Machine Learning Engineer, Siri Speech

Apple· Machine Learning and AI
Apply on company site
Cupertino, CA$184.7k - $324.8kfull-timePosted 6mo ago

About the role

Senior ML engineer role within the Siri organization focused on multilingual, multimodal LLMs and speech/NLP research to enhance Siri across Apple platforms. Emphasis on end-to-end development from data scaling to training and production deployment, collaborating with cross-functional teams to ship scalable ML products while staying current with research trends.

Responsibilities

  • Develop and build multilingual, multimodal LLMs to improve speech and conversational experiences for Apple customers worldwide.
  • Advance the state of the art in natural language processing, speech and audio modeling.
  • Design and build robust speech-centric LLM systems that enable next-generation conversational assistant features across Apple platforms.
  • Collaborate closely with cross-functional partners in research, engineering, design, and production to deliver scalable, high-quality ML products.
  • Stay current with emerging research and industry trends, and help define the future direction of AI-powered Siri experiences

Qualifications

  • M.S. or PhD in Electrical Engineering, Computer Science or related fields
  • 5-7+ years experience in Machine Learning
  • Experience in developing, training/tuning large generative models or LLMs
  • Experience with machine learning frameworks such as JAX and/or PyTorch
  • Proficient programming skills in Python

Skills

Required:Multimodal large language models (LLMs)Natural language processing / generationSpeech understanding / generation
Nice to have:Reinforcement learning

Benefits

  • Comprehensive medical and dental coverage
  • retirement benefits
  • discounted products and free services
  • reimbursement for certain educational expenses
  • discretionary bonuses or commission payments possibly
  • relocation assistance
  • Apple stock participation through Employee Stock Purchase Plan
Last updated Jul 3, 2026. Interested? Apply on the company site.

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