Research Scientist, Visual Data and Generative Research

Google LLC

San Francisco, CA

JOB DETAILS
SKILLS
Alliance/Partner Management, Architectural Design, Artificial Intelligence (AI), C++ Programming Language, Calibration, Channel Strategies, Cloud Computing, Computer Graphics, Computer Science, Computer Skills, Computer Vision, Consulting, Data Management, Data Mining, Data Sets, Data Visualization, Deep Learning, Delivery Management, English Language, Equal Employment Opportunity (EEO), Federal Government, Financial Services, Genetics, Government, Graphics, Hardware Configuration Management, High Throughput, Internet Security, Internet of Things, Machine Learning, Market Research, Natural Language Processing (NLP), Network Architecture/Engineering, Neural Networks, Operations Management, Operations Security (OPSEC), Optical Engineering, Optical Networking, Performance Analysis, Performance Management, Photography, Process Improvement, Product Development, Program Planning, Project/Program Management, Prototyping, Public Affairs, Python Programming/Scripting Language, Recruiting/Staffing Agency, Regulatory Requirements, Sales Management, Scientific Research, Software Engineering, Technical Leadership, Technical Support, Time Management, Training Data Sets, YouTube
LOCATION
San Francisco, CA
POSTED
2 days ago

Research Scientist, Visual Data and Generative Research - Google Careers

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Research Scientist, Visual Data and Generative Research

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corporate_fareGoogleplaceSan Francisco, CA, USA; Mountain View, CA, USA

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

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XApplicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Francisco, CA, USA; Mountain View, CA, USA.

Minimum qualifications:

  • PhD or equivalent practical experience in computer vision, machine learning, computer graphics, or generative media.
  • Experience in Python and C++.
  • Experience with visual data acquisition and curation for 3D vision tasks, such as multi-view video, point clouds, or radiance fields.
  • Experience designing and training neural networks, specifically with transformers or diffusion models.

Preferred qualifications:

  • Experience with generative video research, including fine-tuning or distillation of foundation vision models for novel view synthesis.
  • Expertise in computational photography or specialized sensor calibration, such as active illumination or multi-modal sensor fusion.
  • Familiarity with distributed training frameworks and machine learning data infrastructure.
  • Proven track record of managing end-to-end visual data pipelines, from initial capture strategy to automated curation and model integration.

About the job

As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you"ll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.

As a Research Scientist, you"ll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.

Labs is a group focused on incubating early-stage efforts in support of Google's mission to organize the world's information and make it universally accessible and useful. Our team exists to help discover and create new ways to advance our core products through exploration and the application of new technologies. We work to build new solutions that have the potential to transform how users interact with Google. Our goal is to drive innovation by developing new Google products and capabilities that deliver significant impact over longer timeframes.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $147000 - $211000 (USD) + 15% bonus target + bonus + equity + benefits

Learn more about benefits at Google.

Responsibilities

  • Design and execute high-throughput strategies to capture high-quality multi-view video and image data from thousands of unique participants and environments.
  • Optimize specialized acquisition hardware and optical configurations to extract high-precision ground truth visual data for complex foreground subjects and environmental backgrounds.
  • Research and implement methods to fine-tune generative video foundation models on proprietary datasets to produce high-fidelity synthetic video training data, dramatically increasing model exposure to scenes.
  • Develop automated pipelines that generate high-resolution depth, segmentation, and motion labels from production-grade models to supervise and train next-generation research architectures.
  • Create rigorous image and video evaluation datasets specifically designed to measure and solve "long-tail" quality issues, such as material properties and temporal stability.

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.

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