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Staff Machine Learning Engineer, Siri Runtime Systems and Interaction

Apple· Machine Learning and AI
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Zurichfull-timePosted 1mo ago

About the role

Leading development of audio and video generation capabilities for multimodal generative experiences within Siri Attention and Invocation. Drive technical vision, mentor engineers, and shape roadmaps for expressive synthetic speech and visual representations across products.

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

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
  • Proven experience building and shipping machine learning systems in production, with significant focus on generative modeling
  • Excellent collaboration and communication skills, with a track record of working across research, engineering, and product teams
  • Strong software engineering skills, with experience designing scalable ML systems and pipelines (e.g., Python, PyTorch/TensorFlow, distributed training infrastructure)
  • Experience with speech synthesis (TTS), voice conversion, audio acoustics/background modeling, or conversational AI systems
  • Experience with generative video/animation techniques (e.g., facial animation, lip-sync, avatar rendering, video diffusion)
  • Publications in generative modeling, speech, audio, or computer vision at top-tier venues (e.g., NeurIPS, ICML, ICASSP, CVPR, Interspeech)
  • Experience deploying real-time or low-latency generative models at scale
  • Familiarity with multimodal modeling (joint audio-visual generation, cross-modal conditioning)
  • Prior experience mentoring engineers or leading technical direction for a team

Skills

Required:generative modelingend-to-end system designdiffusion modelsautoregressive models
Nice to have:GANs/VAEsspeech synthesis (TTS)video generation/animation

Benefits

  • Not specified in the provided text
Last updated Sep 4, 2026. Interested? Apply on the company site.

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