Applied Scientist, Personal Robotics Group

Amazon • Sunnyvale, CA

1d

About The Position

Robots are about to step out of the movies and into our homes. If you're excited
about this robotics revolution, come join Amazon's Personal Robotics Group. As
an Applied Scientist in this org, you'll design and implement state-of-the-art
algorithms that bridge Computer Vision, Metric-semantic Mapping, and Contextual
Reasoning to create comprehensive 3D/4D scene understanding capabilities. Your
work will directly impact how our intelligent system perceives and reasons about
dynamic home environments, building rich world representations that enable safe
and effective autonomous operation alongside family members. You'll push the
state-of-the-art techniques in Robotics and design novel algorithms that bridge
the gap between research and real-world deployment.

In this role, you'll develop expert models as well as end-to-end learning-based
solutions that integrate Spatial Scene Understanding, Semantic Scene Graphs, and
High-level Reasoning into unified world models. You'll leverage advanced Deep
Learning techniques including Transformer architectures, Neural Radiance Fields,
and Multi-modal Foundation Models to create robust representations of domestic
spaces. Your solutions will need to handle the unique challenges of unstructured
environments - from varying lighting conditions and cluttered spaces to dynamic
interactions with humans and pets.

The Personal Robotics Group is pioneering intelligent robotic products that
deliver meaningful customer experiences. We're building the next generation of
robotic systems that will redefine how customers interact with technology. This
is a unique opportunity to shape the future of personal robotics working with
world-class teams pushing the boundaries of what's possible in robotic
Manipulation, Locomotion, and Open World Understanding.

Join us if you’re passionate about creating the future of personal robotics, solving complex challenges at the intersection of hardware and software, and
seeing your innovation deliver transformative customer experiences.

Requirements

• 3+ years of building models for business application experience
• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
• Experience programming in Java, C++, Python or related language
• Experience in patents or publications at top-tier peer-reviewed conferences or journals
• Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Nice To Haves

• 5+ years of deep learning, computer vision, human robotic interaction, algorithms implementation experience
• PhD
• Knowledge of architectural concepts and algorithms, schedule tradeoffs and new opportunities with technical team members
• Experience using Unix/Linux
• Experience in professional software development

Responsibilities

• Develop multi-modal perception systems that fuse sensiing modalities in cluding but not limited to RGB-D, LiDAR, and other sensing modalities to create robust spatial-semantic world models.
• Design and implement advanced 3D/4D scene understanding systems using neural implicit representations, occupancy networks, and dynamic scene graphs
• Design experiments to identify the limitations of current state-of-the-art models and developing new models or techniques that can surpass these models
• Collaborate with engineering teams to optimize and scale models for real-world applications. Influence technical decisions and implementation strategies within your area of focus
• The ability to work with minimal guidance, be proactive and to handle ambiguity and the challenge of quickly evolving goals
• Communicate complex technical work to a non-technical audience
• Design Expert architectures and Train ML models for deployment in simulation and real-world robots, identify and document their limitations post-deployment
• Drive technical discussions within your team and with key stakeholders to develop innovative solutions to address identified limitations

Benefits

• 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
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level