Senior Software Engineer, Machine Learning Infrastructure, Pixel Biometric

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 testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
  

Preferred qualifications:

• Experience with large scale processing or manipulation of image or video data.
• Experience in data science and analytics methodologies.
• Experience with back-end development.
• Experience with machine learning theory and algorithms.
• Experience in writing testable and scalable C++ code.
• Ability to contribute to projects independently and to write clean, maintainable code.

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.

The Google Pixel team focuses on designing and delivering the world's most helpful mobile experience. The team works on shaping the future of Pixel devices and services through some of the most advanced designs, techniques, products, and experiences in consumer electronics. This includes bringing together the best of Google’s artificial intelligence, software, and hardware to build global smartphones and create transformative experiences for users across the world.

Responsibilities

• Develop large scale data ingestion and process pipelines.
• Build systems to fine-tune, evaluate and visualize the performance of ML systems.
• Manage releasing face authentication model drops for in-market and unreleased Pixel devices.
• Expand existing authentication infrastructure stack to support other devices and ML teams.