Research Scientist, Vision Language and Multimodal Modeling at Google
Sydney, New South Wales, Australia -
Full Time


Start Date

Immediate

Expiry Date

29 Nov, 25

Salary

0.0

Posted On

30 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Android, Production Systems, Flume, Conferences, Journals, Computer Science, Computer Vision

Industry

Computer Software/Engineering

Description

At Google, we have a vision of empowerment and equitable opportunity for all Aboriginal and Torres Strait Islander peoples and commit to building reconciliation through Google’s technology, platforms and people and we welcome Indigenous applicants. Please see our Reconciliation Action Plan for more information.

MINIMUM QUALIFICATIONS:

  • PhD degree in Computer Science, a related field, or equivalent practical experience.
  • One or more scientific publication submissions for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.).

PREFERRED QUALIFICATIONS:

  • Experience in areas like face anti-spoofing, biometrics, 3D/2.5D vision, facial landmark/pose estimation.
  • Experience with TensorFlow, Flume, common computer vision libraries/frameworks and Android.
  • Excellent software engineering skills (e.g., C++, python, data processing, production backend development, etc.).
  • Interest to build production systems.

How To Apply:

Incase you would like to apply to this job directly from the source, please click here

Responsibilities
  • Author research papers to share and generate impact of research results across the team and in the research community.
  • Help in growing research business across teams by sharing research trends and best practices within the community.
  • Define the data structure, framework, design, and evaluation metrics for research solution development and implementation under minimal guidance. Identify timelines and obtain resources needed.
  • Identify new and upcoming research areas by interacting with external and internal collaborators. Help in developing research strategy and plans to expand the impact of Google research with some guidance.
  • Contribute to conducting experiments based on the research question. Develop research prototypes or conduct simulations to further evaluate the impact of research, finalize hypotheses, and refine the research methodology under minimal guidance.
    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
Loading...