6 hours ago
Responsibilities
- Set the modeling, architectural, and algorithmic direction for conversational speech across the Speech organization.
- Provide technical leadership and cross-team alignment across speech recognition, synthesis, dialog, multimodal foundation models, and speech-to-speech systems.
- Work hands-on with teams to solve critical technical challenges in deep learning, speech, and multimodal modeling.
- Architect, train, adapt, and deploy models integrating speech, audio, and text modalities.
- Translate machine learning research into production-quality systems serving large-scale user populations.
- Guide data collection, curation, annotation, and quality strategies for foundation model development.
- Address distributed training, on-device deployment, model compression, quantization, and latency-aware architecture design.
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 LLM architecture design, training, adaptation, and deployment.
- Direct experience building speech-to-speech conversational systems and understanding 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.
- Preferred: Ph.D. in Computer Science, Electrical Engineering, Machine Learning, or a similar technical field.
- Preferred: experience with full-duplex conversational systems, speech-to-speech models, or multimodal foundation models shipped to large-scale users.
- Preferred: familiarity with ASR, TTS, spoken dialog, speaker modeling, and audio understanding.
- Preferred: experience with large-scale distributed training, data-centric foundation model development, and on-device ML deployment.
Categories
About Apple
Apple designs and sells consumer electronics, software, and services for consumers and professionals worldwide, including iPhone, Mac, iPad, Apple Watch, and AirPods, plus platforms like iOS/macOS and services such as the App Store, iCloud, Music, and TV+. Its business combines device sales with services and subscriptions and in-house silicon design. Founded in 1976, Apple is headquartered in Cupertino, California, and trades on NASDAQ as AAPL.