Sr. Applied Scientist, Amazon Transportation
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Job Location:
Bellevue, WA - USA
Monthly Salary:
Not Disclosed
Posted on:
17 hours ago
Vacancies:
1 Vacancy
Job Summary
Amazons Middle Mile Planning Research and Optimization Science group (mmPROS) is looking for a Senior Applied Scientist specializing in design and evaluation of algorithms for predictive modeling and optimization applied to large-scale transportation planning systems. This includes the development of novel machine learning and artificial intelligence techniques to improve on marketplace optimization solutions.
The Middle Mile Science group is charged with developing an evolving suite of optimization tools to facilitate the design of efficient air and ground transport networks optimize the flow of packages within the network to efficiently align network capacity and shipment demand set prices and effectively utilize scarce resources such as aircraft and trucks. The scale of Amazons fulfillment operations challenges us to design build and operate robust transportation networks that minimize the overall operational cost while meeting all customer deadlines. Real-time execution of our network depends on state-of-the-art artificial intelligence tools to coordinate the actions of thousands of operators and drivers in real time. Amazon often finds existing techniques do not effectively match our unique business needs which necessitates the innovation and development of new approaches and algorithms to find an adequate solution.
As a Sr. Applied Scientist responsible for middle mile transportation you will be working closely with different teams including business leaders and engineers to design and build scalable products operating across multiple transportation modes. You will create experiments and prototype implementations of new learning algorithms and prediction techniques. You will have exposure to top level leadership to present findings of your research. You will also work closely with other scientists and engineers to implement your models within our production system. You will implement solutions that are exemplary in terms of algorithm design clarity model structure efficiency and extensibility and make decisions that affect the way we build and integrate algorithms across our product portfolio.
About the team
Our Middle Mile Marketplace Science team builds the algorithms for Amazons rapidly growing freight marketplace. Amazon contracts with 3P shippers and a network of independent carriers using a mix of contract structures with varying service and risk profiles. Our work focuses on mechanisms and learning algorithms to optimize pricing and matching in this complex marketplace and continually improve the experience for carriers and shippers. This is an area with many challenging problems and a huge business impact for Amazon!
- 5 years of building machine learning models or developing algorithms for business application experience
- PhD in engineering technology computer science machine learning robotics operations research statistics mathematics or equivalent quantitative field or Masters degree and 10 years of industry or academic research experience
- Computer Science fundamentals in algorithm design problem solving and complexity analysis
- Proficiency in at least one modern programming language such as C C Java Python
- Excellent communication skills with both technical and non-technical audiences
- Significant peer-reviewed scientific contributions in premier journals and conferences
- Hands-on experience with neural deep learning reinforcement learning and machine learning technologies
- Experience working with AWS technologies
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.
The Middle Mile Science group is charged with developing an evolving suite of optimization tools to facilitate the design of efficient air and ground transport networks optimize the flow of packages within the network to efficiently align network capacity and shipment demand set prices and effectively utilize scarce resources such as aircraft and trucks. The scale of Amazons fulfillment operations challenges us to design build and operate robust transportation networks that minimize the overall operational cost while meeting all customer deadlines. Real-time execution of our network depends on state-of-the-art artificial intelligence tools to coordinate the actions of thousands of operators and drivers in real time. Amazon often finds existing techniques do not effectively match our unique business needs which necessitates the innovation and development of new approaches and algorithms to find an adequate solution.
As a Sr. Applied Scientist responsible for middle mile transportation you will be working closely with different teams including business leaders and engineers to design and build scalable products operating across multiple transportation modes. You will create experiments and prototype implementations of new learning algorithms and prediction techniques. You will have exposure to top level leadership to present findings of your research. You will also work closely with other scientists and engineers to implement your models within our production system. You will implement solutions that are exemplary in terms of algorithm design clarity model structure efficiency and extensibility and make decisions that affect the way we build and integrate algorithms across our product portfolio.
About the team
Our Middle Mile Marketplace Science team builds the algorithms for Amazons rapidly growing freight marketplace. Amazon contracts with 3P shippers and a network of independent carriers using a mix of contract structures with varying service and risk profiles. Our work focuses on mechanisms and learning algorithms to optimize pricing and matching in this complex marketplace and continually improve the experience for carriers and shippers. This is an area with many challenging problems and a huge business impact for Amazon!
- 5 years of building machine learning models or developing algorithms for business application experience
- PhD in engineering technology computer science machine learning robotics operations research statistics mathematics or equivalent quantitative field or Masters degree and 10 years of industry or academic research experience
- Computer Science fundamentals in algorithm design problem solving and complexity analysis
- Proficiency in at least one modern programming language such as C C Java Python
- Excellent communication skills with both technical and non-technical audiences
- Significant peer-reviewed scientific contributions in premier journals and conferences
- Hands-on experience with neural deep learning reinforcement learning and machine learning technologies
- Experience working with AWS technologies
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.
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 CA Santa Clara - 192200.00 - 260000.00 USD annually
USA WA Bellevue - 167100.00 - 226100.00 USD annually
Required Experience:
Senior 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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