Staff ML Engineer - Multimodal Gen AI & Synthesis

Apple

Zürich

Vor Ort

CHF 180.000 - 240.000

Vollzeit

vor 4 Stunden
Sei unter den ersten Bewerbenden
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Zusammenfassung

Apple in Zürich invites a Staff Machine Learning Engineer to lead the development of audio and video generation capabilities for multimodal experiences across its products. You will shape the technical vision, mentor engineers, and collaborate with research, product, design and infrastructure teams to translate cutting-edge techniques into shipped features while balancing quality, latency, and scalability.

Role requires hands-on expertise in generative modeling, strong software engineering, and

Qualifikationen

  • Master's or PhD in CS/EE/ML or equivalent practical experience.
  • Hands-on experience with generative audio/video architectures.
  • Experience leading complex projects from research to production.
  • Experience evaluating generative models with objective and perceptual metrics.

Aufgaben

  • Design end-to-end systems for generating synthetic audio and video for agent interaction.
  • Lead generative AI projects from research prototype to production deployment.
  • Establish evaluation, perceptual quality, and monitoring of outputs.
  • Drive multimodal generation architecture balancing quality, latency and scale.
  • Mentor engineers and set ML engineering practices across the team.
  • Collaborate with research, product, design and infra to ship features.
  • Stay current with diffusion, autoregressive, and end-to-end techniques.

Kenntnisse

Generative modeling
Leadership
Collaboration
ML deployment

Ausbildung

Master's degree or PhD in Computer Science, Electrical Engineering, Machine Learning, or related field

Tools

PyTorch
TensorFlow
Distributed training

Jobbeschreibung

Apple in Zürich invites a Staff Machine Learning Engineer to lead the development of audio and video generation capabilities for multimodal experiences across its products. You will shape the technical vision, mentor engineers, and collaborate with research, product, design and infrastructure teams to translate cutting-edge techniques into shipped features while balancing quality, latency, and scalability.

Role requires hands-on expertise in generative modeling, strong software engineering, and

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