Software engineer, Machine Learning, Pixel Biometrics
1 week ago
- Bachelor's degree or equivalent practical experience.
- 2 years of experience with software development in one or more programming languages (eg. C ) or 1 year of experience with an advanced degree in an industry setting.
- Master's degree or PhD in Computer Science, or a related technical field.
- Experience with data pipelining, data science/analytics.
- Experience with large-scale processing or manipulation of image or video data.
- Experience with machine learning theory and algorithms.
- Experience in writing testable and scalable C code.
- Experience with Machine Learning back-end development.
- Develop large-scale data ingestion and processing pipelines.
- Build systems to fine-tune, evaluate and visualize the performance of ML systems.
- Handle releasing face authentication model drops for in-market and unreleased Pixel devices.
- Expand existing authentication infrastructure stack to support other devices and ML teams.
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