Machine Learning Engineer, Siri Speech

Apple • Cupertino, CA

2d

About The Position

Join Apple’s Siri Speech team to develop production-quality machine learning systems that power natural voice experiences across Apple platforms. The role focuses on multilingual, multimodal large language models and speech-centric systems for conversational assistant features, including algorithms that determine whether a user is interacting with Siri and techniques such as speaker recognition. The work includes designing and developing models, fine-tuning deep learning systems for speaker recognition and multimodal understanding, and integrating solutions into production. You will collaborate with research, software engineering, data science, design, and product partners to deliver scalable, high-quality ML products, while helping advance multimodal modeling and shape future AI-powered Siri experiences.

Requirements

• Experience developing, training, or tuning large generative models or LLMs.
• Experience with machine learning frameworks such as JAX and/or PyTorch.
• Proficient programming skills in Python.
• Strong problem-solving skills and ability to work independently and in a team environment.
• Excellent written and verbal communication skills.
• M.S. in Electrical Engineering, Computer Science, or a related field.
• 1–2+ years of experience in machine learning.

Nice To Haves

• Experience in reinforcement learning.
• Experience with Speech LLMs or other multimodal LLMs.
• Experience building and deploying AI agents and LLMs.
• Experience with large-scale machine learning training and evaluation.
• Data-centric vision and hands-on experience developing and scaling foundation models.

Responsibilities

• Develop and build multilingual, multimodal LLMs to improve speech and conversational experiences for Apple customers worldwide.
• Advance the state of the art in multimodal modeling.
• Design and build robust speech-centric LLM systems for next-generation conversational assistant features across Apple platforms.
• Improve multimodal algorithms that determine whether a user is interacting with Siri, including speaker recognition techniques.
• Collaborate 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.
• Design and develop machine learning models, fine-tune deep learning systems, and integrate solutions into production.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level