Apple
Sr. Machine Learning Engineer, Siri Speech
$185K–$325K
Cupertino, California · Senior · Full-time · Posted Sep 17, 2026
- Experience
- 5-7+ years experience in Machine Learning.
- Education
- M.S. or PhD in Electrical Engineering, Computer Science, or related fields.
About the job
Develop and deploy multilingual, multimodal, speech-centric LLMs and other machine learning systems to improve Siri’s speech and conversational experiences across Apple platforms.
What you'll do
- Build multilingual, multimodal LLMs and robust speech-centric systems for conversational assistant features.
- Advance NLP, speech, and audio modeling, and develop end-to-end ML solutions from data scaling through model training and deployment.
- Collaborate with research, engineering, design, and production teams to deliver scalable ML products and help shape Siri’s AI direction.
What they ask for
- M.S. or PhD in Electrical Engineering, Computer Science, or a related field.
- 5-7+ years experience in Machine Learning.
- Experience developing and training or tuning large generative models or LLMs.
- Proficient programming skills in Python; experience with JAX and/or PyTorch.
Nice to have
- Experience in reinforcement learning, Speech LLMs or other Multimodal LLMs, AI agents, or large-scale ML training and evaluation.
- Data-centric vision and hands-on experience developing and scaling foundation models.
Pay
$184,700 and $324,800 (base salary)
Tools
JAX, PyTorch, Python
AI focus
Applied ML research and development of multilingual, multimodal, speech-centric LLMs and conversational AI for Siri, including speech and audio modeling and deploying models to production.
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