Machine Learning Architect - Conversational Speech

What you'll do

• Define modeling strategy and a unified architecture across the Speech organization.
• Guide teams through difficult modeling challenges and translate research and industry developments into technical roadmaps.
• Ensure production readiness and collaborate with Siri, Apple Intelligence, hardware, and platform engineering teams.

What they ask for

• 10+ years of machine learning experience applied to speech or multimodal systems, with increasing technical scope and leadership.
• Demonstrated technical leadership or architecture experience defining modeling direction across multiple teams or product areas.
• Deep hands-on expertise in modern deep learning, including large language models and end-to-end speech systems; significant experience designing, training, adapting, and deploying multimodal LLMs.
• Direct experience building speech-to-speech conversational systems; track record of productionizing research at scale; expert Python and deep learning framework skills.

Nice to have

• Ph.D. in Computer Science, Electrical Engineering, Machine Learning, or a similar technical field.
• Experience with shipped full-duplex conversational or multimodal systems, speech technology stacks, distributed training, data strategies, or on-device ML deployment.

Pay

USD $262,500 to $394,000 base salary

Tools

Python, PyTorch, JAX, TensorFlow

AI focus

Leads modeling strategy and architecture for conversational speech, including speech recognition and synthesis, dialog, multimodal foundation models, speech-to-speech systems, and full-duplex interaction.