Sr. Applied Scientist - SLAM

Amazon Industrial Robotics (AIR) is seeking exceptional talent to help develop the next generation of advanced robotics systems that will transform automation at Amazon's scale. We're building revolutionary robotic systems that combine cutting-edge AI, sophisticated control systems, and advanced mechanical design to create adaptable automation solutions capable of working safely alongside humans in dynamic environments. This is a unique opportunity to shape the future of robotics and automation at an unprecedented scale, working with world-class teams pushing the boundaries of what's possible in robotic dexterous manipulation, locomotion, and human-robot interaction. This role presents an opportunity to shape the future of robotics through innovative applications of the latest software and AI tools for robots.

We are seeking an expert to lead the development of our SLAM and Spatial AI module. In this role, you will create methods that will enable our robot to perceive the environment and navigate with unrivaled vision and fidelity. The system will combine an array of diverse sensors with simultaneous localization and mapping software that continuously updates the map in real-time automatically. It will have the capability to ‘see’ and identify different objects, people, vehicles, and places as it moves and react to moving people and vehicles in an intelligent way.

The system combines a mix of high-performance sensors with simultaneous localization and mapping software that builds and continuously updates maps in real-time, completely automatically. It has the capability to ‘see’ and identify different objects, people, vehicles, and places as it moves and react to moving people and vehicles in an intelligent way.

Key job responsibilities - Analyze, design, develop, and test existing and new perception capabilities using cameras and LIDAR sensor inputs for obstacle detection and semantic understanding. - Research, design, implement and evaluate scientific approaches to a variety of autonomy challenges.. - Create experiments and prototype implementations of new perception algorithms. - Deliver high quality production level code (C++ or Python) and support systems in production. - Collaborate with other functional teams in a robotics organization. - Collaborate closely with hardware engineering team members on developing systems from prototyping to production level. - Represent Amazon in academia community through publications and scientific presentations. - Work with stakeholders across hardware, science, and operations teams to iterate on systems design and implementation. Basic Qualifications: - 3+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning Preferred Qualifications: - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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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, MA, N.Reading - 167,100.00 - 226,100.00 USD annually