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Technical Program Manager II, Machine Learning Data, Pixel

Google

Google

Software Engineering, IT, Operations
Mountain View, CA, USA
Posted on Friday, August 9, 2024

Technical Program Manager II, Machine Learning Data, Pixel

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GoogleMountain View, CA, USA
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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 data collection and labeling for machine learning.
  • Experience with data analytics and business intelligence systems to monitor the health of the program.

Preferred qualifications:

  • 2 years of experience managing cross-functional or cross-team projects.
  • Experience with automation/robotics or computer vision.
  • Knowledge of bio-metric privacy and security on mobile devices and platforms.

About the job

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.

The team works on Machine Learning (ML) features for Pixel and other first-party products using commodity hardware, and deliver new technologies on Pixel phones exploring innovative solutions for future products. In this role, you will primarily manage the data needed to develop the ML technologies for Pixel phones, and will be working with the ML researchers, client, infrastructure teams, and cross-company partners. You will gather data and ensure the quality for use in training and evaluation.

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.

Responsibilities

  • Develop processes to ensure data quality and introduce improvements to increase quality and data yield over time.
  • Drive requirements to the data collection tooling team to improve overall throughput and quality of the data collected.
  • Manage communication of progress/status within the core team and escalate issues as necessary.
  • Work with external vendors when needed to hire and manage contractors and recruit participants.
  • Collaborate with the ML team to gather data requirements and translate them to operational execution plans.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.