Senior Multimodal Generative AI Engineer (Audio/Video)

Apple, Inc.; Zürich; On-site; CHF 180,000 - 280,000; Full time

Job summary

Apple, Inc. in Zürich seeks a Senior Machine Learning Engineer to lead audio and video generation capabilities within the Siri AI team. You will guide generation systems, mentor engineers, and shape multimodal strategies across our products.

The role emphasizes research-to-production impact, collaboration with research, product, and infra teams, and staying current with diffusion and end-to-end architectures to deliver compelling, low-latency experiences.

Qualifications

• Master’s or PhD in Computer Science, Electrical Engineering, Machine Learning, or a related field, or equivalent practical experience.
• Deep hands-on experience with generative audio and/or video architectures (e.g., diffusion models, autoregressive models, GANs, VAEs, end-to-end neural synthesis).
• Demonstrated ability to lead complex, ambiguous projects from research through production, and to make sound technical tradeoffs under real-world constraints (quality, latency, compute).
• Experience evaluating generative model outputs, including both objective metrics and perceptual/subjective quality assessment.

Responsibilities

• Design and implement end-to-end systems for generating synthetic audio (speech, acoustics, sound) and/or video for agents interaction.
• Lead complex generative AI projects from research prototype through large-scale production deployment.
• Establish best practices for model evaluation, perceptual quality assessment, and monitoring of generative outputs.
• Drive technical decisions and architecture for multimodal (audio/video) generation systems, balancing quality, latency, and scalability.
• Identify high-impact opportunities where advances in generative modeling can meaningfully improve agents experiences.
• Collaborate closely with research, product, design, and infrastructure teams to translate cutting-edge techniques into shipped features.
• Mentor and provide technical guidance to engineers across the team, raising the bar for ML engineering practices.
• Stay current with emerging techniques in generative modeling (e.g., diffusion, autoregressive, end-to-end architectures) and evaluate their applicability to our systems.

Skills

Leadership

Project management

Communication

Evaluation skills

Education

Master’s or PhD in Computer Science/EE/ML or related field

Tools

Python

PyTorch/TensorFlow

Distributed training infrastructure

Diffusion models

End-to-end neural synthesis

Job description

Apple, Inc. in Zürich seeks a Senior Machine Learning Engineer to lead audio and video generation capabilities within the Siri AI team. You will guide generation systems, mentor engineers, and shape multimodal strategies across our products.

The role emphasizes research-to-production impact, collaboration with research, product, and infra teams, and staying current with diffusion and end-to-end architectures to deliver compelling, low-latency experiences.