Minimum qualifications:
- Bachelor's degree, or equivalent practical experience.
- 5 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
- 1 years of experience in a leadership role (technical leadership or people management, supervision, or team leadership).
- Experience with TensorFlow, Flume, common computer vision libraries / frameworks and Android.
- Experience in relevant areas like face anti-spoofing, biometrics, 3D / 2.5D vision, facial landmark / pose estimation.
- Ability to build production systems with Google scale user impact.
- Excellent problem-solving skills with attention to detail.
- Excellent software engineering skills (C++, python, data processing, production backend development, etc.).
- Publications in related research venues (CVPR, ICCV, NeurIPS, ICML, ICLR, etc)
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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.
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 problems and iterate technical solutions.
- Design, implement, optimize and integrate machine learning algorithms into production systems