Research Engineering Manager, Multimodal AI, Google Labs

Google•Mountain View, CA

3d•$262,000 - $364,000

About The Position

As a Research Engineering Manager and Technical Lead Manager in Google Labs, you will lead a focused, multidisciplinary pod of research scientists and software engineers. You will drive technical strategy across large-scale audio-visual data curation, model training, rigorous model evaluation, and real-time streaming inference to support emerging multimodal research prototypes. Google Labs incubates early-stage efforts in support of Google’s mission to organize the world’s information and make it universally accessible and useful. The team explores and applies new technologies to create solutions that can transform how users interact with Google, developing products and capabilities intended to deliver significant impact over longer timeframes. The role combines technical leadership with team management, project goal ownership, contribution to product strategy, and team development. The position also includes managing engineers across teams and locations, a large product budget, and deployment of large-scale projects across multiple international sites.

Requirements

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.

Nice To Haves

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.

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.
Manage project goals, contribute to product strategy, and help develop the team.
Oversee deployment of large-scale projects across multiple international sites.