Sr. Machine Learning Engineer, Siri Speech
Apple
Software Engineering, Data Science
Cupertino, CA, USA
USD 181,100-318,400 / year + Equity
Posted on Jan 13, 2026
Are you excited about Generative AI and Large Language Models? Do you want to work on cutting-edge generative technologies that power intelligent, natural interactions for billions of users? Join the SWE Speech team at Apple. Our team develops state-of-the-art machine learning technologies for speech understanding, speech generation, and speech-to-speech interaction. We build scalable infrastructure, high-quality datasets, and advanced models that power Siri, Dictation, and speech-enabled Apple Intelligence features across natural language understanding, dialog generation, speech recognition, and multimodal interaction. We are looking for an exceptional Senior Machine Learning Engineer with deep experience in designing and developing large-scale ML systems and multimodal LLMs, with a focus on conversational AI across language and audio. In this role, you will advance the latest ML techniques and translate them into production systems that shape the Siri experience for millions of users worldwide.
We are seeking a candidate with a strong background in applied ML research and development, particularly in multimodal LLM, natural language processing/generation, speech generation/understanding, to join our cross-functional team focused on advancing capabilities in systems like Siri. We are looking for applied ML researchers who can develop end-to-end solutions from data scaling to necessary model implementation and training while collaborating with other engineering teams to bring research to production. You will develop and deploy novel deep learning technologies that make Siri more intelligent, natural, and useful. To succeed in this role, you should be a strong researcher and engineer, an excellent programmer, and a creative problem solver who enjoys learning new techniques, improving systems, and taking ownership of complex problems. You should also thrive as a team player in a fast-paced environment.
- 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
- 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
- Experience in reinforcement learning
- Experience with Speech LLMs or other Multimodal LLMs
- Experience with building & deploying AI agents and LLMs
- Experience with large scale machine learning training/evaluation
- Data-centric vision and hands-on experience in developing and scaling foundation models
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.