• Image Quality Expert, AI Research

    Google (Mountain View, CA)


    Image Quality Expert, AI Research

     

    _corporate_fare_ Google _place_ Mountain View, CA, USA

     

    Mid

     

    Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

    Minimum qualifications:

    + 2 years of experience working as an image quality domain expert with a team of engineers or researchers developing camera software.

    + Experience capturing training data for ML models or generative AI.

    + Experience with data curation and annotation for AI training.

    + Experience in photography covering several fields.

    Preferred qualifications:

    + Ability to articulate and communicate visual concepts.

    + Excellent video editing skills.

    + Excellent image processing skills with attention to detail.

     

    About the job

     

    Elevating the image quality and user experience of generative Artificial Intelligence and Machine Learning models (AI and ML) through meticulous evaluation, data collection and curation, and insightful beta testing.

     

    In this role, you will make aesthetic decisions when delivering qualitative and quantitative feedback during development. You will contribute to product strategy by identifying emerging trends and opportunities.The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.

     

    The US base salary range for this full-time position is $115,000-$166,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. 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 aboutbenefits at Google (https://careers.google.com/benefits/) .

    Responsibilities

    + Provide qualitative and quantitative feedback on tuning, algorithmic changes, and generative AI model iterations that affect image quality.

    + Collect training data and photos for generative AI/ML models, and algorithms.

    + Curate datasets and evaluation sets for feature development.

    + Beta test and evaluate real-time effects to improve features and find bugs to avoid negative brand impact/reviews.

    + Help define product opportunities and set direction (e.g., identify emerging trends, identify gaps between casual smartphone and professional photography, etc.).

     

    Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./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 alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC\_KnowYourRights\_10\_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) .

     

    If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) .

     

    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.

     

    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/OFCCP_EEO_Post.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.