Amazon
Applied Scientist II, Robotics and ML, Amazon Industrial Robotics
Amazon, Oklahoma City, Oklahoma, United States
Applied Scientist II, Robotics and ML, Amazon Industrial Robotics
Amazon Industrial Robotics 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 manipulation, locomotion, and human‑robot interaction.
Key Job Responsibilities
Lead design, adapt, and implement novel machine learning solutions for manipulation robots
Create hybrid approaches combining classical methods with learning‑based solutions
Design learning algorithms for automated parameter tuning and adaptation
Develop data collection pipelines and methodologies for capturing high‑quality demonstrations of dexterous tasks
Build and test prototype robotic workcell setups to validate the performance of the solution
Partner with cross‑functional teams to rapidly create new concepts and prototypes
Work with Amazon's robotics engineering and operations teams to grasp their requirements and develop tailored solutions
Document the architecture, performance, and validation of the final system
Basic Qualifications
PhD
Experience in patents or publications at top‑tier peer‑reviewed conferences or journals
Experience programming in Java, C++, Python or related language
Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high‑performance computing
Experience building machine learning models or developing algorithms for business application
Experience applying theoretical models in an applied environment
Preferred Qualifications
Experience using Unix/Linux
Experience in professional software development
Experience working effectively across cross‑functional teams and partnering well with people at all levels within an organization
PhD in Robotics, Computer Science, or related field with focus on machine learning and robot control
Experience developing and implementing machine learning approaches for robotic systems, particularly in imitation learning or reinforcement learning
Strong background in robot control systems, particularly in force/impedance control and contact‑rich manipulation
Experience with real‑time control systems and robot motion planning
Track record of translating research concepts into practical robotic applications
Strong programming skills and experience with modern ML frameworks
Experience with demonstration‑based learning and data collection for robotic systems
Amazon is an equal‑opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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.
Compensation: The base pay for this position ranges from $136,000 per year in the lowest geographic market up to $223,400 per year in the highest geographic market. Pay is based on a number of factors including market location and may vary depending on job‑related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign‑on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
This position will remain posted until filled. Applicants should apply via our internal or external career site.
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Key Job Responsibilities
Lead design, adapt, and implement novel machine learning solutions for manipulation robots
Create hybrid approaches combining classical methods with learning‑based solutions
Design learning algorithms for automated parameter tuning and adaptation
Develop data collection pipelines and methodologies for capturing high‑quality demonstrations of dexterous tasks
Build and test prototype robotic workcell setups to validate the performance of the solution
Partner with cross‑functional teams to rapidly create new concepts and prototypes
Work with Amazon's robotics engineering and operations teams to grasp their requirements and develop tailored solutions
Document the architecture, performance, and validation of the final system
Basic Qualifications
PhD
Experience in patents or publications at top‑tier peer‑reviewed conferences or journals
Experience programming in Java, C++, Python or related language
Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high‑performance computing
Experience building machine learning models or developing algorithms for business application
Experience applying theoretical models in an applied environment
Preferred Qualifications
Experience using Unix/Linux
Experience in professional software development
Experience working effectively across cross‑functional teams and partnering well with people at all levels within an organization
PhD in Robotics, Computer Science, or related field with focus on machine learning and robot control
Experience developing and implementing machine learning approaches for robotic systems, particularly in imitation learning or reinforcement learning
Strong background in robot control systems, particularly in force/impedance control and contact‑rich manipulation
Experience with real‑time control systems and robot motion planning
Track record of translating research concepts into practical robotic applications
Strong programming skills and experience with modern ML frameworks
Experience with demonstration‑based learning and data collection for robotic systems
Amazon is an equal‑opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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.
Compensation: The base pay for this position ranges from $136,000 per year in the lowest geographic market up to $223,400 per year in the highest geographic market. Pay is based on a number of factors including market location and may vary depending on job‑related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign‑on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
This position will remain posted until filled. Applicants should apply via our internal or external career site.
#J-18808-Ljbffr