Research Scientist, Extended Reality, Hand Tracking

research scientist, extended reality, hand tracking

apply for the research scientist, extended reality, hand tracking role at google
.

1 day ago. Be among the first 25 applicants.

this role may also be located in our playa vista, ca campus.

applicants in los angeles county: qualified applications with arrest or conviction records will be considered for employment in accordance with the los angeles county fair chance ordinance for employers and the california fair chance act.

by applying to this position you will have an opportunity to share your preferred working location from the following:
san jose, ca, usa; new york, ny, usa; los angeles, ca, usa
.

• 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.).

• master's degree or phd in computer science or a related technical field.
• 2 years of experience with coding.
• 2 years of experience with machine learning algorithms and tools (e.g., tensor flow), artificial intelligence, or deep learning.
• 1 year of experience owning and initiating research agendas.
• experience with object detection, object tracking, or 3d vision.

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 set up 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 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.

as a research scientist on the extended reality (xr) hand tracking team, you will build the next generation of ground‑truth data infrastructure to power immersive human‑computer interaction. You will research and develop advanced 3d hand capture systems, delivering the comprehensive data needed to enable real‑time hand tracking on google’s future xr devices.

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 $141,000-$202,000 plus bonus, equity and benefits. Our salary ranges are determined by role, level, and location.

• design scalable, automated pipelines to process multi‑view capture data, ensuring efficient handling of 3d assets from raw capture to model training.
• research and develop algorithms for 3d hand reconstruction, ml landmark detection, and parametric model registration to create high‑fidelity ground truth hand data.
• work with the team to leverage the captured data to improve the accuracy of xr hand tracking models for challenging scenarios like occlusion and hand‑object interaction.

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.

not applicable

full‑time

information technology and engineering

information services and technology, information and internet