Job Information
Google Technical Program Manager II, Machine Learning, Pixel in Mountain View, California
Minimum qualifications:
Bachelor's degree in a technical field, or equivalent practical experience.
2 years of experience in program management.
2 years of experience with Machine Learning.
Preferred qualifications:
2 years of experience managing cross-functional and/or cross-team projects.
Experience with data analytics and business intelligence systems to monitor the health of the program.
Experience with data collection and labeling for machine learning or automation/robotics.
Knowledge of biometric privacy and security on mobile devices and platforms.
A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.
Our goal is to build a Google that looks like the world around us — and we want Googlers to stay and grow when they join us. As part of our efforts to build a Google for everyone, we build diversity, equity, and inclusion into our work and we aim to cultivate a sense of belonging throughout the company.
In this role, you will work on a new ML feature for Pixel and Android phones using commodity hardware. You will deliver new technologies on Pixel phones and keep exploring innovative solutions for future products.
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.
The US base salary range for this full-time position is $122,000-$178,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google (https://careers.google.com/benefits/) .
Collaborate with the ML team to gather data requirements and translate them to operational execution plans.
Work closely with external vendors when needed to hire and manage contractors and recruit participants.
Develop processes to ensure that the data is of sufficient quality and introduce improvements to increase quality and data yield over time.
Drive requirements for the data collection tooling team to improve overall throughput and quality of the data collected.
Identify, communicate, and collaborate with relevant stakeholders within one or more teams to drive impact and work toward mutual goals.
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 https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCPEEOPost.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.