Research Scientist, Extended Reality Computational Photography at Google

San Jose, California, United States -

Full Time

Start Date

Immediate

Expiry Date

27 Jan, 26

Salary

244000.0

Posted On

29 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Computational Photography, Image Processing, Computer Graphics, Machine Learning, Deep Learning, Data Mining, Natural Language Processing, Python, C, C++, Algorithm Development, Cross Functional Collaboration, Research Leadership, Prototyping, Experiment Design, Performance Analysis

Industry

Software Development

Description

MINIMUM QUALIFICATIONS: * PhD degree in Computer Science, a related field, or equivalent practical experience. * 2 years of experience leading a research agenda. * 1 year of experience in computational photography, image processing, or computer graphics. * One or more scientific publication submissions for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.). PREFERRED QUALIFICATIONS: * 2 years of coding experience. * 1 year of experience leading research efforts and influencing other researchers. * Programming skills in Python, C or C++. 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. For decades, the computing revolution has reshaped our world driven by breakthroughs in compute, connectivity, mobile, and now, AI. Google's XR team is at the forefront of the next major leap – the convergence of AI and XR. This is more than just new devices – it's about reimagining how we interact with the world around us. We're building a future where lightweight XR devices pair with helpful AI to augment human intelligence, offering personalized, conversational, and contextually aware experiences. The US base salary range for this full-time position is $166,000-$244,000 + 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 about benefits at Google [https://careers.google.com/benefits/]. RESPONSIBILITIES: * Deliver solutions for photography and videography on XR devices and platforms with the help of machine learning and computational photography. * Develop algorithms that are performant, generate high quality results, and integrate well with the XR systems and platforms. * Improve and extend existing machine learning based photography and videography pipelines. * Work closely with cross functional teams to implement the designed solutions.

Responsibilities

Deliver solutions for photography and videography on XR devices using machine learning and computational photography. Develop and improve algorithms that integrate well with XR systems and collaborate with cross-functional teams.