Engineering Manager, AI Innovation and Research, Ambient, Stacks
Job Description
Google | Bengaluru, Karnataka, India. Minimum qualifications: Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience. 8 years of experience in leading Machine Learning (ML) design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). 3 years of experience in a technical leadership role; overseeing projects, with 2 years of experience in a people management, supervision/team leadership role. 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. AI Innovation and Research is a team focused on accelerating Artificial Intelligence (AI) innovation and redefining how users interact with computing. The team builds the foundational technology that powers seamless and intelligent user experiences across various teams.
Locations
- Bengaluru, Karnataka, India
Salary
Salary not disclosed
Estimated Salary Rangemedium confidence
80,000,000 - 120,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Machine Learningadvanced (AI/ML)
- Deep Learningadvanced (AI/ML)
- AI Developmentadvanced (AI/ML)
- ML Infrastructureadvanced (Software Engineering)
- Technical Leadershipadvanced (Management)
- People Managementintermediate (Management)
Required Qualifications
- Bachelor's degree (degree in Computer Science or related technical field)
- Leading ML design and optimizing ML infrastructure (experience, 8 years)
- Technical leadership role (experience, 3 years)
- People management or team leadership (experience, 2 years)
- Managing a team of ML Engineers (experience)
- Building and deploying production-level ML models and infrastructure (experience)
- Leading technical projects from conception to deployment (experience)
Responsibilities
- Build capabilities in production that allow for the performant interaction between on-device, cloud Large Language Model (LLMs) or LLMs in a private environment.
- Work on architecture that spans devices and servers, while remaining adaptable to various compute and power capabilities.
- Work on horizontal technology, build the necessary infrastructure and pathways, drive customer onboarding, and own the upstreaming of user feedback and data back to related teams for Hybrid, Nano and Private Inference.
- Grow and manage a performing team of Software Engineers, Machine Learning (ML) engineers and ML researchers.
Benefits
- Equal Opportunity: Google is proud to be an equal opportunity and affirmative action employer committed to building a workforce representative of the users we serve.
- Culture: Creating a culture of belonging and providing equal employment opportunity.
- Accommodations: Accommodations for applicants with needs by completing the Accommodations for Applicants form.
Documents
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