Applied Scientist ML and Robotics
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Job Location:
North Reading, MA - USA
Monthly Salary:
Not Disclosed
Posted on:
16 hours ago
Vacancies:
1 Vacancy
Job Summary
At Amazon Robotics we design advanced robotic systems capable of intelligent perception learning and action alongside humans at massive scale. Our mission is to deploy robots that increase productivity and efficiency across Amazon fulfillment centers while operating safely and robustly in complex contact-rich environments.
We are seeking an Applied Scientist to develop learning-based manipulation policies for robotic systems operating under uncertainty agency interaction and frequent this role you will design and train ML- focused policies for contact-rich manipulation grounded in physics-based modeling control theory and real-world constraints. You will combine analytical modeling simulation and data-driven learning to build robust manipulation behaviors that generalize across objects tasks and environments.
You will work at the intersection of robot learning control and estimation developing approaches that integrate classical methods (e.g. dynamics impedance control state estimation) with modern machine learning techniques (e.g. policy learning representation learning system identification from data). You will collaborate closely with experts in perception machine learning motion planning controls and software engineering to deliver solutions that perform reliably on real hardware at production scale. As part of this role you will study and extend relevant academic and industry research in robot learning and manipulation prototype and validate learned policies in simulation and on hardware and transition successful approaches into production systems. Successful candidates demonstrate strong intuition for physical systems experience applying ML to robotics problems and the ability to reason about failure modes edge cases and deployment constraints in contact-rich manipulation. Clear communication hands-on experimentation and a bias toward practical impact are essential.
Key job responsibilities
- Research design implement and evaluate machine learningbased manipulation policies for contact-rich tasks integrating learning with feedback control estimation and motion planning.
- Develop learning frameworks that leverage simulation real-world data and hybrid physics- and data-driven models to enable robust agency interaction grasping insertion and object handling.
- Design and execute experiments in simulation and on hardware to train validate and stress-test learned manipulation policies under real-world variability and uncertainty.
- Collaborate with software engineering teams to deliver scalable real-time and maintainable implementations of learning-based manipulation algorithms in production robotic systems.
- Partner with cross-functional teams across perception hardware systems engineering science and operations to transition learned policies from research prototypes to reliable production-ready capabilities across Amazon Robotics platforms.
A day in the life
Amazon offers a full range of benefits that support you and eligible family members including domestic partners and their children. Benefits can vary by location the number of regularly scheduled hours you work length of employment and job status such as seasonal or temporary employment. The benefits that generally apply to regular full-time employees include:
1. Medical Dental and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
If you are not sure that every qualification on the list above describes you exactly wed still love to hear from you! At Amazon we value people with unique backgrounds experiences and skillsets. If youre passionate about this role and want to make an impact on a global scale please apply!
- PhD or Masters degree and 4 years of science technology engineering or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java C Python or related language
- Experience with one of the following areas: machine learning technologies Reinforcement Learning Deep Learning Computer Vision Natural Language Processing (NLP) or related applications
- Experience designing running and analyzing experiments in simulation and on real robotic hardware.
- Experience in robotics design automation systems development control systems design or related product development
- Experience developing learning-based manipulation policies for contact-rich tasks such as grasping insertion force-controlled interaction or object manipulation.
- Strong foundation in robot dynamics control and state estimation and experience integrating these with data-driven methods.
- Hands-on experience with reinforcement learning imitation learning or hybrid learningcontrol approaches applied to robotics.
- Familiarity with simulation tools and sim-to-real transfer for robotic manipulation.
- Experience collaborating with software engineering teams to transition research prototypes into scalable real-time production 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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
We are seeking an Applied Scientist to develop learning-based manipulation policies for robotic systems operating under uncertainty agency interaction and frequent this role you will design and train ML- focused policies for contact-rich manipulation grounded in physics-based modeling control theory and real-world constraints. You will combine analytical modeling simulation and data-driven learning to build robust manipulation behaviors that generalize across objects tasks and environments.
You will work at the intersection of robot learning control and estimation developing approaches that integrate classical methods (e.g. dynamics impedance control state estimation) with modern machine learning techniques (e.g. policy learning representation learning system identification from data). You will collaborate closely with experts in perception machine learning motion planning controls and software engineering to deliver solutions that perform reliably on real hardware at production scale. As part of this role you will study and extend relevant academic and industry research in robot learning and manipulation prototype and validate learned policies in simulation and on hardware and transition successful approaches into production systems. Successful candidates demonstrate strong intuition for physical systems experience applying ML to robotics problems and the ability to reason about failure modes edge cases and deployment constraints in contact-rich manipulation. Clear communication hands-on experimentation and a bias toward practical impact are essential.
Key job responsibilities
- Research design implement and evaluate machine learningbased manipulation policies for contact-rich tasks integrating learning with feedback control estimation and motion planning.
- Develop learning frameworks that leverage simulation real-world data and hybrid physics- and data-driven models to enable robust agency interaction grasping insertion and object handling.
- Design and execute experiments in simulation and on hardware to train validate and stress-test learned manipulation policies under real-world variability and uncertainty.
- Collaborate with software engineering teams to deliver scalable real-time and maintainable implementations of learning-based manipulation algorithms in production robotic systems.
- Partner with cross-functional teams across perception hardware systems engineering science and operations to transition learned policies from research prototypes to reliable production-ready capabilities across Amazon Robotics platforms.
A day in the life
Amazon offers a full range of benefits that support you and eligible family members including domestic partners and their children. Benefits can vary by location the number of regularly scheduled hours you work length of employment and job status such as seasonal or temporary employment. The benefits that generally apply to regular full-time employees include:
1. Medical Dental and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
If you are not sure that every qualification on the list above describes you exactly wed still love to hear from you! At Amazon we value people with unique backgrounds experiences and skillsets. If youre passionate about this role and want to make an impact on a global scale please apply!
- PhD or Masters degree and 4 years of science technology engineering or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java C Python or related language
- Experience with one of the following areas: machine learning technologies Reinforcement Learning Deep Learning Computer Vision Natural Language Processing (NLP) or related applications
- Experience designing running and analyzing experiments in simulation and on real robotic hardware.
- Experience in robotics design automation systems development control systems design or related product development
- Experience developing learning-based manipulation policies for contact-rich tasks such as grasping insertion force-controlled interaction or object manipulation.
- Strong foundation in robot dynamics control and state estimation and experience integrating these with data-driven methods.
- Hands-on experience with reinforcement learning imitation learning or hybrid learningcontrol approaches applied to robotics.
- Familiarity with simulation tools and sim-to-real transfer for robotic manipulation.
- Experience collaborating with software engineering teams to transition research prototypes into scalable real-time production 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 for more information. If the country/region youre applying in isnt 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 MA North Reading - 142800.00 - 193200.00 USD annually
Required Experience:
IC
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
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