Machine Learning Engineer, Siri Speech

Apple • Cupertino, CA

3d

About The Position

Join Apple’s Siri organization to help build a personal, integrated assistant powered by Apple Intelligence, with privacy built in. The role contributes to Siri experiences across Apple platforms, developing production-quality models for large-scale systems, spoken language, big data, and artificial intelligence. You will design and develop machine learning models, fine-tune deep learning systems for speaker recognition and multimodal understanding, and collaborate with software engineering, data science, and product teams to integrate solutions into production.

As part of the Siri Speech team, you will improve multimodal algorithms that determine whether a user is interacting with Siri, including speaker-recognition techniques. The work supports Siri, which is used by millions of people across Apple devices. Success requires collaboration, creative problem-solving, and the ability to work across teams and organizations in a fast-paced environment.

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.
• Ability to work independently and in a team environment.
• Excellent written and verbal communication skills.

Nice To Haves

• M.S. in Electrical Engineering, Computer Science, or a related field.
• 1–2+ years of experience in machine learning.
• 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

• Improve multimodal algorithms that determine whether a user is interacting with Siri, including speaker-recognition techniques.
• Design and develop machine learning models.
• Fine-tune deep learning systems for speaker recognition and multimodal understanding.
• Integrate machine learning solutions into production in collaboration with software engineering, data science, and product teams.
• Develop production-quality models for large-scale systems, spoken language, big data, and artificial intelligence.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed