Research Engineering Manager, Multimodal AI, Google Labs

Google LLC; Mountain View (CA); On-site; USD 262,000 - 364,000; Full time

Benefits offered by this job

Equity

Bonus target (25%)

Benefits

Job summary

Google LLC in Mountain View, CA, USA is hiring a Research Engineering Manager for Multimodal AI at Google Labs. You will lead a multidisciplinary team of researchers and engineers, shaping technical strategy for audiovisual data curation, model training, evaluation, and real-time inference.

The role emphasizes driving production-ready research, collaborating with DeepMind and other Google teams, and delivering scalable AI solutions across platforms.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development or ML research with Python or C++, including design/deploy of ML systems.
• 3 years in a technical leadership or people management role leading engineers/research scientists in AI/ML, CV, audio, or multimodal systems.

Responsibilities

• Guide and mentor a focused, multidisciplinary pod of research scientists and software engineers as a technical lead manager.
• Define and execute the technical roadmap for high-signal audio-visual data curation, multimodal training, and end-to-end evaluation frameworks.
• Contribute to low-latency multimodal serving and streaming inference systems in real-time experiences.
• Partner with product and engineering leaders to transition research breakthroughs into production.
• Establish engineering and scientific excellence across model iteration and cross-Google platform integration.

Skills

Software development

ML research

Leadership

Education

Bachelor's degree

Master's or PhD preferred

Tools

Python

C++

Job description

Research Engineering Manager, Multimodal AI, Google Labs

Share Research Engineering Manager, Multimodal AI, Google Labs

Google Mountain View, CA, USA

In most instances, this position requires in-person interviews as part of the hiring process.

• 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.

About the job

Like Google’s own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.

With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.

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 the 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.

Labs is a group focused on incubating early-stage efforts in support of Google’s mission to organize the world’s information and make it universally accessible and useful. Our team exists to help discover and create new ways to advance our core products through exploration and the application of new technologies. We work to build new solutions that have the potential to transform how users interact with Google. Our goal is to drive innovation by developing new Google products and capabilities that deliver significant impact over longer timeframes.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $262000 - $364000 (USD) + 25% bonus target + equity + benefits

Learn more about benefits at Google .

• 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.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google’s EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

About the job

Like Google’s own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.

With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.

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 the 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.

Labs is a group focused on incubating early-stage efforts in support of Google’s mission to organize the world’s information and make it universally accessible and useful. Our team exists to help discover and create new ways to advance our core products through exploration and the application of new technologies. We work to build new solutions that have the potential to transform how users interact with Google. Our goal is to drive innovation by developing new Google products and capabilities that deliver significant impact over longer timeframes.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $262000 - $364000 (USD) + 25% bonus target + equity + benefits

Learn more about benefits at Google .