Research Scientist I, Last Mile
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Monthly Salary:
Posted on:
19 hours ago
Vacancies:
1 Vacancy
Job Summary
Amazons Last Mile Team is looking for a passionate individual with strong machine learning and GenAI engineering skills to join its Last Mile Science team in the endeavor of designing and improving the most complex planning of delivery network in the world.
Last Mile builds global solutions that enable Amazon to attract an elastic supply of drivers companies and assets needed to deliver Amazons and other shippers volumes at the lowest cost and with the best customer delivery experience. Last Mile Science team owns the core decision models in the space of jurisdiction planning delivery channel and modes network design capacity planning for on the road and at delivery stations routing inputs estimation and optimization fleet planning. Our research has direct impact on customer experience driver and station associate experience Delivery Service Partner (DSP)s success and the sustainable growth of Amazon.
Optimizing the last mile delivery requires deep understanding of transportation supply chain management pricing strategies and forecasting and the GenAI approaches for a diverse range of problems to solve. Only through innovative and strategic thinking we will make the right capital investments in technology assets and infrastructures that allows for long-term success. Our team members have an opportunity to be on the forefront of supply chain thought leadership by working on some of the most difficult problems in the industry with some of the best product managers scientists and software engineers in the industry.
Key job responsibilities
Candidates will be responsible for developing solutions to better manage and optimize delivery capacity in the last mile network. The successful candidate should have solid research experience in one or more technical areas of Machine Learning or Large Language Models. These positions will focus on identifying and analyzing opportunities to improve existing algorithms and also on optimizing the system policies across the management of external delivery service providers and internal planning strategies. They require superior logical thinkers who are able to quickly approach large ambiguous problems turn high-level business requirements into mathematical models identify the right solution approach and contribute to the software development for production systems. To support their proposals candidates should be able to independently mine and analyze data and be able to use any necessary programming and statistical analysis software to do so. Successful candidates must thrive in fast-paced environments which encourage collaborative and creative problem solving be able to measure and estimate risks constructively critique peer research and align research focuses with the Amazons strategic needs.
- PhD in a quantitative field or MS degree and 1 years of quantitative field research experience
- Experience investigating the feasibility of applying scientific principles and concepts to business problems and products
- Experience with data analysis package (R SAS Matlab etc.)
- Experience using SQL databases to manage and analyze large data sets
- PhD in engineering technology computer science machine learning robotics operations research statistics mathematics or equivalent quantitative field
- Experience applying forecasting and data mining techniques
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.
Last Mile builds global solutions that enable Amazon to attract an elastic supply of drivers companies and assets needed to deliver Amazons and other shippers volumes at the lowest cost and with the best customer delivery experience. Last Mile Science team owns the core decision models in the space of jurisdiction planning delivery channel and modes network design capacity planning for on the road and at delivery stations routing inputs estimation and optimization fleet planning. Our research has direct impact on customer experience driver and station associate experience Delivery Service Partner (DSP)s success and the sustainable growth of Amazon.
Optimizing the last mile delivery requires deep understanding of transportation supply chain management pricing strategies and forecasting and the GenAI approaches for a diverse range of problems to solve. Only through innovative and strategic thinking we will make the right capital investments in technology assets and infrastructures that allows for long-term success. Our team members have an opportunity to be on the forefront of supply chain thought leadership by working on some of the most difficult problems in the industry with some of the best product managers scientists and software engineers in the industry.
Key job responsibilities
Candidates will be responsible for developing solutions to better manage and optimize delivery capacity in the last mile network. The successful candidate should have solid research experience in one or more technical areas of Machine Learning or Large Language Models. These positions will focus on identifying and analyzing opportunities to improve existing algorithms and also on optimizing the system policies across the management of external delivery service providers and internal planning strategies. They require superior logical thinkers who are able to quickly approach large ambiguous problems turn high-level business requirements into mathematical models identify the right solution approach and contribute to the software development for production systems. To support their proposals candidates should be able to independently mine and analyze data and be able to use any necessary programming and statistical analysis software to do so. Successful candidates must thrive in fast-paced environments which encourage collaborative and creative problem solving be able to measure and estimate risks constructively critique peer research and align research focuses with the Amazons strategic needs.
- PhD in a quantitative field or MS degree and 1 years of quantitative field research experience
- Experience investigating the feasibility of applying scientific principles and concepts to business problems and products
- Experience with data analysis package (R SAS Matlab etc.)
- Experience using SQL databases to manage and analyze large data sets
- PhD in engineering technology computer science machine learning robotics operations research statistics mathematics or equivalent quantitative field
- Experience applying forecasting and data mining techniques
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.
Required Experience:
IC
Key Skills
- Laboratory Experience
- Machine Learning
- Python
- AI
- Bioinformatics
- C/C++
- R
- Biochemistry
- Research Experience
- Natural Language Processing
- Deep Learning
- Molecular Biology
About Company
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