Applied Scientist, Amazon Robotics
Applied Scientist, Amazon Robotics
Posted on :
09-06-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 136000 - 223400
Vacancy
1 Vacancy
Posted on :
09-06-2025
Job Description
Amazon Robotics is seeking an exceptional Applied Scientist to join our Foundation Models team. This role presents an opportunity to shape the future of robotics through innovative applications of deep learning and large language models.
At Amazon Robotics we leverage advanced robotics machine learning and artificial intelligence to solve complex operational challenges at unprecedented scale. Our fleet of robots operates across hundreds of facilities worldwide working in sophisticated coordination to fulfill our mission of customer excellence.
We are pioneering the development of robotics foundation models that:
- Enable unprecedented generalization across diverse tasks
- Integrate multi-modal learning capabilities (visual tactile linguistic)
- Accelerate skill acquisition through demonstration learning
- Enhance robotic perception and environmental understanding
- Streamline development processes through reusable capabilities
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 thats 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
As an Applied Scientist in the Foundations Model team you will:
- Model Development and Training: Designing and implementing the model architectures training and fine tuning the foundation models using various datasets and optimize the model performance through iterative experiments
- Data Management: Process and prepare training data including data governance provenance tracking data quality checks and creating reusable data pipelines.
- Experimentation and Validation: Design and execute experiments to test model capabilities on the simulator and on the embodiment validate performance across different scenarios create a baseline and iteratively improve model performance.
- Code Development: Write clean maintainable well commented and documented code contribute to training infrastructure create tools for model evaluation and testing and implement necessary APIs
- Research: Stay current with latest developments in foundation models and robotics assist in literature reviews and research documentation prepare technical reports and presentations and contribute to research discussions and brainstorming sessions.
- Collaboration: Work closely with senior scientists engineers and leaders across multiple teams participate in knowledge sharing support integration efforts with robotics hardware teams and help document best practices and methodologies.
A day in the life
Amazon offers a full range of benefits for 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 building machine learning models or developing algorithms for business application experience
- 2 years of deep learning computer vision human robotic interaction algorithms implementation experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java C Python or related language
- Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing high-performance computing
- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning
- Experience applying theoretical models in an applied environment
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136000/year in our lowest geographic market up to $223400/year in our 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. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
At Amazon Robotics we leverage advanced robotics machine learning and artificial intelligence to solve complex operational challenges at unprecedented scale. Our fleet of robots operates across hundreds of facilities worldwide working in sophisticated coordination to fulfill our mission of customer excellence.
We are pioneering the development of robotics foundation models that:
- Enable unprecedented generalization across diverse tasks
- Integrate multi-modal learning capabilities (visual tactile linguistic)
- Accelerate skill acquisition through demonstration learning
- Enhance robotic perception and environmental understanding
- Streamline development processes through reusable capabilities
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 thats 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
As an Applied Scientist in the Foundations Model team you will:
- Model Development and Training: Designing and implementing the model architectures training and fine tuning the foundation models using various datasets and optimize the model performance through iterative experiments
- Data Management: Process and prepare training data including data governance provenance tracking data quality checks and creating reusable data pipelines.
- Experimentation and Validation: Design and execute experiments to test model capabilities on the simulator and on the embodiment validate performance across different scenarios create a baseline and iteratively improve model performance.
- Code Development: Write clean maintainable well commented and documented code contribute to training infrastructure create tools for model evaluation and testing and implement necessary APIs
- Research: Stay current with latest developments in foundation models and robotics assist in literature reviews and research documentation prepare technical reports and presentations and contribute to research discussions and brainstorming sessions.
- Collaboration: Work closely with senior scientists engineers and leaders across multiple teams participate in knowledge sharing support integration efforts with robotics hardware teams and help document best practices and methodologies.
A day in the life
Amazon offers a full range of benefits for 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 building machine learning models or developing algorithms for business application experience
- 2 years of deep learning computer vision human robotic interaction algorithms implementation experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java C Python or related language
- Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing high-performance computing
- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning
- Experience applying theoretical models in an applied environment
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136000/year in our lowest geographic market up to $223400/year in our 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. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Employment Type
Full-Time
Key Skills
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