Staff engineer machine

Note : By applying to this position you will have an opportunity to share your preferred working location from the following : Mountain View, CA, USA; San Diego, CA, USA .Please ensure you read the below overview and requirements for this employment opportunity completely.Minimum qualifications :• Bachelor's degree or equivalent practical experience.• 8 years of experience in software development, and with data structures / algorithms.• 5 years of experience with machine learning algorithms and tools, or applied Machine Learning.Preferred qualifications :• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.• 3 years of experience in a technical leadership role leading project teams and setting technical direction.• 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.• Experience using digital signal processing techniques, working with sensor data (e.g., accelerometer data), and writing and deploying features in C++.• Experience optimizing and launching machine learning (ML) based features on consumer electronics products.• Experience with real-time operating systems (e.g., Android).About the jobAs a Staff Software Engineer, you will develop on-device machine learning algorithms for our next generation Pixel Watches.You will work with Product, UXD, UXR, Quality Assurance, and other engineering teams to ideate, create, and deliver high quality Machine Learning (ML) based experiences for our users.In addition to your direct contributions, you will serve as the technical lead for algorithm development efforts on the team, consulting and providing mentorship to other algorithm developers.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.Responsibilities• Develop user-facing features powered by ML algorithms. Experiment, fine tune, and deploy features that run on-device in low power, memory constrained environments.• Work with UX Researcher teams to define and collect user data, build and train ML models using various techniques, and evaluate their performance.Refine and iterate models based on feedback from product managers, user studies and feedback, and production.• Optimize for the device and user. Understand the tradeoffs between algorithm accuracy, power, compute, memory, and latency, and make optimization decisions based on an understanding of the big picture.• Serve as technical lead for algorithm development on the team. Guide and mentor developers, and stay up to date with the latest advancements in machine learning techniques and tools and help grow the team's expertise.Develop a technical roadmap of new features and feature improvements.Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law.If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.J-18808-LjbffrLast updated : 2024-08-06