Machine Learning Architect - Conversational Speech

Apple • Cupertino, CA

11d

About The Position

The Speech organization within Siri advances speech recognition, synthesis, and speech-to-speech models for features across Apple’s ecosystem. Its work includes infrastructure, datasets, and models that support Siri conversational AI, dictation, and speech-enabled Apple Intelligence across natural language understanding, dialog generation, speech recognition, and multimodal interaction.

The Machine Learning Architect is a senior technical leader spanning the Speech organization. The role sets modeling direction for conversational speech and charts architectural and algorithmic direction for Apple’s speech technologies. It combines technical strategy with hands-on work on difficult technical problems, collaborating closely with teams to overcome critical obstacles. Reporting directly to Speech organization leadership, the role influences speech recognition, synthesis, dialog, multimodal foundation models, and speech-to-speech systems, and helps ensure a coherent technical vision and cross-team alignment.

Requirements

• 10+ years of experience in machine learning applied to speech or multimodal systems, with progressively increasing technical scope and leadership.
• Demonstrated experience as a technical leader or architect defining modeling direction across multiple teams or product areas.
• Deep hands-on proficiency in modern deep learning, including large language models and end-to-end speech systems.
• Significant experience with multimodal LLMs, including architecture design, training, adaptation, and deployment of models integrating speech, audio, and text.
• Direct experience building speech-to-speech conversational systems and strong understanding of full-duplex natural conversational interaction and end-to-end speech pipelines.
• Track record of translating research into production-quality systems at scale.
• Expert programming skills in Python and deep learning frameworks such as PyTorch, JAX, or TensorFlow.

Nice To Haves

• Ph.D. in Computer Science, Electrical Engineering, Machine Learning, or a similar technical field.
• Experience architecting or leading development of full-duplex natural conversational systems, speech-to-speech models, or multimodal foundation models shipped to large-scale user populations.
• Deep familiarity with ASR, TTS, spoken dialog, speaker modeling, and audio understanding, and the ability to reason about their interactions and dependencies.
• Experience with large-scale distributed training and infrastructure considerations that shape model design at scale.
• Data-centric perspective on foundation model development, including experience guiding data collection, curation, annotation, and quality strategies.
• Experience with on-device ML deployment, including model compression, quantization, and latency-aware architecture design.

Responsibilities

• Set modeling direction and chart the architectural and algorithmic course for conversational speech technologies.
• Provide technical leadership across the Speech organization, aligning teams around a coherent technical vision.
• Work hands-on with teams to solve the organization’s most challenging technical problems.
• Influence work across speech recognition, synthesis, dialog, multimodal foundation models, and speech-to-speech systems.
• Translate research into production-quality systems at scale.

What This Job Offers

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