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Engineering Manager, AI Innovation and Research, AI/ML
2 weeks ago
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in software development.
- 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
- 5 years of experience building and deploying recommendation systems models (retrieval, prediction, ranking, embedding) in production and experience building architecture in different modeling domains.
- 3 years of experience in a technical leadership role; overseeing projects. 2 years of experience in a people management, supervision/team leadership role.
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical field.
- 3 years of experience working in an matrixed organization
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.
The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.
Responsibilities
- Lead and mentor a team of AI/ML engineers, guiding them in the development, training, evaluation, and deployment of AI/ML models, ensuring integration into production systems.
- Collaborate with Platforms & Devices (P&D) product teams and research teams to define and deliver AI-based features, anticipating future needs.
- Foster relationships and facilitate collaboration with the Mountain View-based team, leveraging their proximity and partnerships with P&D product teams to improve team efficiency and overall impact.
- Identify common needs across multiple engagements, driving the development of shared infrastructure and foundational models that serve as a common tool set and blueprints for accelerated future engagements.
- Advocate knowledge transfer and cultivate AI expertise within the P&D product teams, enabling them to independently lead and execute future AI-driven initiatives.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
