About the role
As a Machine Learning Engineer with a focus on 3D geometry, you will own the full model life cycle—from data generation to deployment and optimization. You will bridge advanced research in monocular depth modeling with real‑world requirements for robustness in video and user‑interface environments. Your work will be part of Google’s XR team, building lightweight XR devices such as smart glasses and headsets that pair AI with human intelligence.
Responsibilities
- Manage the end‑to‑end training process for high‑impact machine learning models.
- Develop and optimize models capable of running efficiently on both consumer devices and server‑side infrastructure.
- Own the robustness and data quality of depth models to resolve critical stability and user experience challenges.
- Adapt research in monocular depth modeling to ensure reliable performance across real‑world scenarios.
Qualifications
- Bachelor’s degree or equivalent practical experience.
- 2 years of experience with software development in Python or C++ programming languages, or 1 year of experience with an advanced degree.
- 2 years of experience with developing large‑scale infrastructure, distributed systems or networks, or experience with compute technologies, storage and hardware architecture.
- 1 year of experience with ML infrastructure (model deployment, evaluation, optimization, data processing, debugging).
Preferred qualifications
- Experience in Machine Learning methods with a strong background in 3D geometry.
- Proficiency in building and deploying models for both on‑device and server environments.
- Demonstrated ability to independently handle data generation, model training, and optimization pipelines.
Requirements
English proficiency is required for all roles unless otherwise specified.
Equal Opportunity
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.
