Staff ML Engineer - Generative Audio & Video Systems

Lex; Zürich; Sur place; CHF 180 000 - 250 000; Plein temps

Résumé du poste

Apple invites a Staff Machine Learning Engineer to lead the development of audio and video generation capabilities, shaping the multimodal generation roadmap and mentoring engineers across teams.

You will design end-to-end systems for synthetic speech and visuals, drive production deployments, and establish evaluation and monitoring practices to ensure high-quality, low-latency experiences for millions of users.

Qualifications

• Master’s or PhD in CS, EE, ML, or equivalent practical experience.
• Hands-on experience with generative audio and/or video architectures.
• Ability to lead complex projects from research to production and tradeoffs under real-world constraints.
• Experience evaluating generative model outputs with objective and perceptual metrics.

Responsabilités

• Design 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 improve agents experiences.
• Collaborate with research, product, design, and infrastructure teams to translate cutting-edge techniques into shipped features.
• Mentor engineers across the team, raising the bar for ML engineering practices.
• Stay current with emerging techniques in generative modeling (diffusion, autoregressive, end-to-end) and apply where appropriate.

Connaissances

Generative modeling

Technical leadership

Evaluation of models

ML engineering practices

Formation

Master’s or PhD in CS/EE/ML or equivalent

Advanced degree or equivalent experience

Outils

Python

PyTorch/TensorFlow

Distributed training

ML pipelines

Description du poste

Apple invites a Staff Machine Learning Engineer to lead the development of audio and video generation capabilities, shaping the multimodal generation roadmap and mentoring engineers across teams.

You will design end-to-end systems for synthetic speech and visuals, drive production deployments, and establish evaluation and monitoring practices to ensure high-quality, low-latency experiences for millions of users.