Senior Applied Scientist, Mechatronics & Sustainable Packaging (MSP)
Senior Applied Scientist, Mechatronics & Sustainable Packaging (MSP)
Posted on :
01-08-2025
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1 Vacancy
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Job Description
Do you want to be part of a team thats revolutionizing Amazons fulfillment and packaging technology Can you commit to optimizing systems that process tens-of-millions of customer packages daily with the lowest cost to serve and a defect-free customer experience Do you have a passion for solving complex science challenges and building a sustainable e-commerce experience
The Mechatronics & Sustainable Packaging (MSP) team is seeking an experienced and senior Applied Scientist who will join a team of experts in the field of Machine Learning (ML) Statistics Operations Research Computer Vision and Generative AI to work together to break new ground in the world of automated packaging solutions. The MSP team owns mission-critical automation and packaging solutions that impact billions of customer shipments annually across Amazons WW marketplaces. We manage billions in material spend and pack labor costs while driving significant reductions in carbon emissions. Our team is revolutionizing e-commerce through advanced packaging automation innovative sortation technology and sustainable solutions. Were dramatically reducing single-use plastics across our network while developing next-generation automated solutions that can handle the majority of our packaging needs. Were also transforming our supply chain through strategic investments in paper manufacturing and innovative materials driving both substantial cost savings and environmental benefits. This is an exciting opportunity to work on large-scale automation challenges that directly impact customer experience operational efficiency and environmental sustainability at one of the worlds largest e-commerce companies.
Youll work in a collaborative environment where you can pursue ambitious research with many peta-bytes of data work on problems that havent been solved before quickly implement and deploy your algorithmic ideas at scale understand whether they succeed via statistically relevant experiments across millions of customers and publish your research. Youll see the work you do directly improve the packaging experience of Amazon customers in the fulfillment technology space. If you are interested in robotics computer vision machine learning operations research statistics big data and building scalable solutions this role is for you.
Key job responsibilities
A successful candidate in this role may perform some or all of the following responsibilities:
- Develop advanced AI models by extracting predictive features from multiple data sources (product/packaging images product descriptions sensor data geospatial data) to forecast package-related damages and optimize packaging decisions based on customer preference prediction
- Build causal inference model to capture the downstream impacts of different packaging designs and delivery experience
- Leverage generative AI technologies to develop scalable solutions for automated product compatibility and safety assessments (e.g. evaluating product shipping compatibility safety requirements and packaging configurations)
- Develop and implement computer vision solutions to automate packaging workflows and detect product/packaging defects in real-time operations
- Design and implement robotic control algorithms to optimize machine efficiency and meet diverse business objectives
- PhD or Masters degree and 5 years of applied research experience
- 5 years of building machine learning models for business application experience
- 5 years of industry or academic research experience
- Experience with neural deep learning methods and machine learning
- Experience programming in Java C Python or related language
- Experience with building GenAI application in a production environment
- Experience with modeling tools such as R scikit-learn Spark MLLib MxNet Tensorflow numpy scipy etc.
- Experience with building computer vision application in a production evenrionment
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150400/year in our lowest geographic market up to $260000/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.
The Mechatronics & Sustainable Packaging (MSP) team is seeking an experienced and senior Applied Scientist who will join a team of experts in the field of Machine Learning (ML) Statistics Operations Research Computer Vision and Generative AI to work together to break new ground in the world of automated packaging solutions. The MSP team owns mission-critical automation and packaging solutions that impact billions of customer shipments annually across Amazons WW marketplaces. We manage billions in material spend and pack labor costs while driving significant reductions in carbon emissions. Our team is revolutionizing e-commerce through advanced packaging automation innovative sortation technology and sustainable solutions. Were dramatically reducing single-use plastics across our network while developing next-generation automated solutions that can handle the majority of our packaging needs. Were also transforming our supply chain through strategic investments in paper manufacturing and innovative materials driving both substantial cost savings and environmental benefits. This is an exciting opportunity to work on large-scale automation challenges that directly impact customer experience operational efficiency and environmental sustainability at one of the worlds largest e-commerce companies.
Youll work in a collaborative environment where you can pursue ambitious research with many peta-bytes of data work on problems that havent been solved before quickly implement and deploy your algorithmic ideas at scale understand whether they succeed via statistically relevant experiments across millions of customers and publish your research. Youll see the work you do directly improve the packaging experience of Amazon customers in the fulfillment technology space. If you are interested in robotics computer vision machine learning operations research statistics big data and building scalable solutions this role is for you.
Key job responsibilities
A successful candidate in this role may perform some or all of the following responsibilities:
- Develop advanced AI models by extracting predictive features from multiple data sources (product/packaging images product descriptions sensor data geospatial data) to forecast package-related damages and optimize packaging decisions based on customer preference prediction
- Build causal inference model to capture the downstream impacts of different packaging designs and delivery experience
- Leverage generative AI technologies to develop scalable solutions for automated product compatibility and safety assessments (e.g. evaluating product shipping compatibility safety requirements and packaging configurations)
- Develop and implement computer vision solutions to automate packaging workflows and detect product/packaging defects in real-time operations
- Design and implement robotic control algorithms to optimize machine efficiency and meet diverse business objectives
- PhD or Masters degree and 5 years of applied research experience
- 5 years of building machine learning models for business application experience
- 5 years of industry or academic research experience
- Experience with neural deep learning methods and machine learning
- Experience programming in Java C Python or related language
- Experience with building GenAI application in a production environment
- Experience with modeling tools such as R scikit-learn Spark MLLib MxNet Tensorflow numpy scipy etc.
- Experience with building computer vision application in a production evenrionment
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150400/year in our lowest geographic market up to $260000/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.
Required Experience:
Senior IC
Employment Type
Full-Time
Key Skills
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