Applied Scientist II Sort Tech Science
Applied Scientist II Sort Tech Science
Posted on :
09-04-2025
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1 Vacancy
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Job Description
Sort Tech builds automated and humanmanaged configuration and work orchestration systems that dictate sortation of packages in facilities (buildings). Our primary goal is to get all packages on the right truck before it departs. By doing so we help Amazon meet the customer promise or delivery estimate which is the time we told the customer to expect their order. When we fail to get the package on the truck on time then we likely will fail to meet that promise. A very important metric for Sort Tech is delivery estimate accuracy (DEA) and sometimes DEA misses can be attributed to failures by the sortation in the dock. Sort Tech owns the software systems that work in concert with the dock processes to prevent these failures.
Sort Tech Science (STS) applies operations research and machine learning science to undertheroof (UTR) logistics of the sortation of packages to containers and the movement of those containers to outbound trailers. These problems are constantly evolving with technology as these processes become more automated through robotics. STS scientists work closely with the Sort Tech Product and Development teams to drive projects from idea to implementation. STS scientists play an integral role in developing analysis approaches strategies models and algorithms that improve the efficiency and cost effectiveness of our global network of sortation facilities.
Key job responsibilities
You will work closely with product managers research scientists applied scientists business/operations leaders and technical leadership to build capabilities that transform our sortation network. This includes analyzing big data building endtoend data pipelines prototype optimization/ML/simulation models and launch production capabilities. You will have exposure to senior leadership as you communicate results and provide scientific guidance to the business. Your insights will be a key influencer of our product strategy and roadmap and your experimental research will inform our future investment areas.
About the team
Sort Tech Science (STS) was formed in late 2020 to support Amazons undertheroof sortation science needs. As Sort Tech continues its automation to optimization journey STS is a key partner in this journey and is comprised of applied scientists and an Amazon Scholar.
3 years of building models for business application experience
PhD or Masters degree and 4 years of CS CE ML or related field experience
Experience in patents or publications at toptier peerreviewed 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 highperformance computing
PhD
Experience deploying models and algorithms in production and working with the production code base.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age 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 $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 jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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.
Sort Tech Science (STS) applies operations research and machine learning science to undertheroof (UTR) logistics of the sortation of packages to containers and the movement of those containers to outbound trailers. These problems are constantly evolving with technology as these processes become more automated through robotics. STS scientists work closely with the Sort Tech Product and Development teams to drive projects from idea to implementation. STS scientists play an integral role in developing analysis approaches strategies models and algorithms that improve the efficiency and cost effectiveness of our global network of sortation facilities.
Key job responsibilities
You will work closely with product managers research scientists applied scientists business/operations leaders and technical leadership to build capabilities that transform our sortation network. This includes analyzing big data building endtoend data pipelines prototype optimization/ML/simulation models and launch production capabilities. You will have exposure to senior leadership as you communicate results and provide scientific guidance to the business. Your insights will be a key influencer of our product strategy and roadmap and your experimental research will inform our future investment areas.
About the team
Sort Tech Science (STS) was formed in late 2020 to support Amazons undertheroof sortation science needs. As Sort Tech continues its automation to optimization journey STS is a key partner in this journey and is comprised of applied scientists and an Amazon Scholar.
3 years of building models for business application experience
PhD or Masters degree and 4 years of CS CE ML or related field experience
Experience in patents or publications at toptier peerreviewed 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 highperformance computing
PhD
Experience deploying models and algorithms in production and working with the production code base.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age 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 $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 jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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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