Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 5 years of experience with software development in one or more programming languages, and with data structures/algorithms.
- 3 years of experience in developing software products, and 1 year of experience with software design and architecture.
- Experience in relevant areas like face anti-spoofing, biometrics, 3D/2.5D vision, facial landmark/pose estimation.
- Publications in related research venues (CVPR, ICCV, NeurIPS, ICML, ICLR, etc).
- Familiarity with TensorFlow, Flume, common computer vision libraries/frameworks and Android.
- Excellent software engineering skills (e.g., C++, python, large-scale data processing, production backend development, etc.).
- Excellent problem-solving, attention to detail and end-to-end quality skills.
- Passion to build production systems with Google scale user impact.
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About the job
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making people's lives better through technology.
Responsibilities
- Explore with the team multimodal technologies that can improve our face authentication solution, which may include visual language models and multimodal learning techniques.
- Work with the data team to collect evaluation and training datasets (e.g., define requirements, design data collection system setup and data labeling programs).
- Train and evaluate Machine Learning (ML) models.
- Identify quality issues and iterate technical solutions.