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Research Engineering Manager, Multimodal AI, Google Labs

Google
California, USA
Manager · 8+ years experience
Onsite
USD 262000-364000 / year
Discovered 5 days ago
python

Full Job Posting

Responsibilities

  • Guide and mentor a focused, multidisciplinary pod of research scientists and software engineers as a technical lead manager building real-time generative audio, speech, and visual AI systems.
  • Define and execute the technical roadmap for high-signal audio-visual data curation, multimodal training, and end-to-end model evaluation frameworks in partnership with other AI teams.
  • Contribute to low-latency multimodal serving and streaming inference systems that leverage audio and visual models in real-time user experiences.
  • Partner with product and engineering leaders across DeepMind, Google Beam, and consumer product surfaces to transition applied research breakthroughs into production.
  • Establish engineering and scientific excellence across model iteration, real-time streaming performance, and cross-Google platform integration.

Minimum qualifications:

  • Bachelor’s degree in Computer Science, Electrical Engineering, a related technical field, or equivalent practical experience.
  • 8 years of experience with software development or machine learning research and engineering in Python or C++, including designing or deploying machine learning systems.
  • 3 years of experience in a technical leadership or people management role leading engineers or research scientists in AI/ML, computer vision, audio, or multimodal systems.

Preferred qualifications:

  • Master’s degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, Computer Vision, or Audio Processing.
  • Experience as a technical lead manager guiding multidisciplinary teams of research scientists and software engineers from early research framing through production deployment.
  • Experience building generative video, speech and audio synthesis or translation, multimodal perception models, or model and evaluation pipelines.
  • Experience optimizing low-latency audio-video streaming, real-time multimodal model serving, or interactive computer vision systems.

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