Role at a glance
- Salary
- $171.6K – $222.2K/yr
- Location
- Sunnyvale, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Education
- PhD, or Master's degree
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Role Summary
The Applied Scientist will research and build semantic and world understanding algorithms for a domestic robot operating in complex and dynamic home environments. The role focuses on 3D perception, contextual understanding, and world modeling to support autonomous decision making, task planning, navigation, and manipulation, while collaborating across robotics teams.
What You'll Do
- Develop and implement robust World Understanding and Modeling algorithms for a domestic robot.
- Build simulation-based and on-robot evaluation frameworks with comprehensive benchmarks and metrics for systematic evaluation of the...
- Conduct sim-to-real transfer experiments, analyzing performance gaps and developing techniques to ensure reliable real-world performance.
- Collaborate with navigation, manipulation, and other teams to ensure seamless integration of World Understanding capabilities.
- Stay current with advances in World Modeling, Spatial Reasoning, and related fields and apply relevant findings to improve system...
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Required
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- 4+ years of industry or academic research experience
- Experience leading technical initiatives and key deliverables
- Strong publication record at major Robotics/ML/AI conferences (e.g., RSS, CoRL, ICRA, IROS, NeurIPS, ICML, ICLR)
- Experience programming in Python, C++,or related language
Preferred
- History of impactful first-author publications at major journals or conferences
- Experience bridging research with practical engineering implementation in robotics systems
- Experience of working with World Models or Foundation Models applied to World Semantic Understanding problem
Original job description
Content provided by the employer
Original job description
Content provided by the employer
Key job responsibilities
- Develop and implement robust World Understanding and Modeling algorithms for a domestic robot.
- Build simulation-based and on-robot evaluation frameworks with comprehensive benchmarks and metrics for systematic evaluation of Our Spatial Intelligence stack.
- Conduct sim-to-real transfer experiments, analyzing performance gaps and developing techniques to ensure reliable real-world performance.
- Collaborate with navigation, manipulation, and other teams to ensure seamless integration of World Understanding capabilities.
- Stay current with the latest advances in World Modeling, Spatial Reasoning, and related fields and apply relevant findings to improve system performance
About the team
Fauna Robotics, an Amazon company, is building capable, safe, and genuinely delightful robots for everyday life. Our goal is simple: make robots people actually want to live and interact with in everyday human spaces.
We believe that future won’t arrive until building for robotics becomes far more accessible. Today, too much effort is spent reinventing the fundamentals. We’re changing that by developing tightly integrated hardware and software systems that make it faster, safer, and more intuitive to create real-world robotic products.
Our work spans the full stack: mechanical design, control systems, dynamic modeling, and intelligent software. The focus is not just functionality, but experience. We’re building robots that feel responsive, expressive, and genuinely useful.
At Fauna, you’ll work at the frontier of this space, helping define how robots move, manipulate, and interact with people in natural environments. It’s an opportunity to solve hard problems across hardware and software with a team focused on making robotics accessible and joyful to build.
If you care about making robotics real for everyone and building systems that are as delightful as they are capable, we’re interested in hearing from you.
Basic Qualifications
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- 4+ years of industry or academic research experience
- Experience leading technical initiatives and key deliverables
- Strong publication record at major Robotics/ML/AI conferences (e.g., RSS, CoRL, ICRA, IROS, NeurIPS, ICML, ICLR)
- Experience programming in Python, C++,or related language
Preferred Qualifications
- History of impactful first-author publications at major journals or conferences- Experience bridging research with practical engineering implementation in robotics systems
- Experience of working with World Models or Foundation Models applied to World Semantic Understanding problem
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, CA, Sunnyvale - 171,600.00 - 222,200.00 USD annually
About the company
amazon
Large Enterprise
Amazon is a global leader in e-commerce and cloud computing, founded in 1994 by Jeff Bezos. Initially starting as an online bookstore, it has since expanded its offerings to include a vast range of products and services, including electronics, fashion, and digital content. With Amazon Web Services (AWS), the company also provides powerful cloud solutions to businesses around the world. Known for its innovation, customer-centric approach, and commitment to operational efficiency, Amazon continues to shape the future of retail and technology, consistently seeking new ways to enhance customer experiences.
Amazon is a global leader in e-commerce and cloud computing, founded in 1994 by Jeff Bezos. Initially starting as an online bookstore, it has since expanded its offerings to include a vast range of products and services, including electronics, fashion, and digital content. With Amazon Web Services (AWS), the company also provides powerful cloud solutions to businesses around the world. Known for its innovation, customer-centric approach, and commitment to operational efficiency, Amazon continues to shape the future of retail and technology, consistently seeking new ways to enhance customer experiences.