Senior Applied Scientist

Socket.dev; North Reading (MA); On-site; USD 150,000 - 190,000; Full time

Job summary

Amazon is seeking exceptional talent to advance robotics at scale. You will contribute to research uniting deep learning, advanced control, and mechanical design to enable dexterous manipulation, locomotion, and safe human-robot interaction.

This role is based in North Reading, MA, with collaborators across global facilities. You will design and implement whole-body control methods, build real-time controllers, and mentor junior engineers while shaping technologies that boost automation and

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.
• Experience with methods for whole-body control such as hierarchical quadratic programming and model-predictive control.
• Experience with imitation learning and reinforcement learning for whole-body control.
• Experience with simulation environments such as IsaacLab, Mujoco, Drake, etc.
• Experience with developing and deploying code for real-time controllers
• Experience in state estimation from multiple sensor modalities

Responsibilities

• Design and implement whole body control methods for balance, locomotion, and dexterous manipulation
• Utilize state-of-the-art in methods in learned and model-based control
• Create robust and safe behaviors for different terrains and tasks
• Implement real-time controllers with stability guarantees
• Collaborate effectively with multi-disciplinary teams to co-design hardware and algorithms for loco-manipulation
• Mentor junior engineer and scientists

Skills

Machine learning model development

Control systems

Python

C++

Java

Robot perception

Education

PhD in Robotics or related field

Master's degree + 6+ years applied research

Tools

ROS

MATLAB

TensorFlow

PyTorch

Mujoco

Drake

Job description

Amazon 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 deep learning and large language models.

At Amazon we leverage advanced robotics, machine learning, and artificial intelligence to solve complex operational challenges at an unprecedented scale. Our fleet of robots operates across hundreds of facilities worldwide, working in sophisticated coordination to fulfill our mission of customer excellence.

The ideal candidate will contribute to research that bridges the gap between theoretical advancement and practical implementation in robotics. You will be part of a team that's revolutionizing how robots learn, adapt, and interact with their environment.

Join us in building the next generation of intelligent robotics systems that will transform the future of automation and human-robot collaboration.

Key job responsibilities

• Design and implement whole body control methods for balance, locomotion, and dexterous manipulation
• Utilize state-of-the-art in methods in learned and model-based control
• Create robust and safe behaviors for different terrains and tasks
• Implement real-time controllers with stability guarantees
• Collaborate effectively with multi-disciplinary teams to co-design hardware and algorithms for loco-manipulation
• Mentor junior engineer and scientists

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
• Experience with methods for whole-body control such as hierarchical quadratic programming and model-predictive control
• Experience with imitation learning and reinforcement learning for whole-body control
• Experience with simulation environments such as IsaacLab, Mujoco, Drake, etc.
• Experience with developing and deploying code for real-time controllers
• Experience in state estimation from multiple sensor modalities

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.
• PhD in Robotics, with a focus on whole-body control
• Experience with low-level joint torque/impedance control
• Experience with robotics frameworks for fast prototyping (Matlab, ROS, etc.)

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.