Senior Applied Scientist Routing and Planning - Science Team
Senior Applied Scientist Routing and Planning - Science Team
Posted on :
09-04-2025
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1 Vacancy
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Job Description
Does the idea of creating technology solutions for delivering 11 Billion packages across the globe excite you If yes come join a funloving diverse and creative team at Amazon Last Mile! The vision of the team is To create Earths safest most adaptive and efficient plans for Last Mile logistics. The Last Mile Delivery Technology team is instrumental in impacting customer satisfaction directly by devising innovative ways to deliver packages quickly and costeffectively to the customers and at scale using Artificial Intelligence (AI) Machine Learning and Operations Research solutions. Last Mile Delivery Technology organization supports the design planning and of last mile transportation for Amazons various parcel and grocery delivery programs. All these programs require a large number of decision support systems to operate at scale and serve our customers spanning demand planning jurisdiction planning delivery channel and network design capacity planning for on the road and under the roof at delivery stations routing inputs and route optimization. While these decision support systems have thus far been approached through the lens of traditional optimization and machine learning we are looking to reenvision this space and pursue Foundational AI research to innovate and advance the state of these decision support systems. Specifically we are looking to develop foundational models (including Large Language Models Multimodal Language Models Multimodal Models) and adaptations to serve last mile use cases. Beyond Amazon the work developed will spur new fundamental knowledge and innovation in the logistics space.
We are looking for candidates with knowledge and experience in designing and developing stateofart AI solutions (including development and application of advanced deep learning algorithms foundational models multimodal generative AI solutions reinforcement learning) to join our team. Demonstrated experience scaling and optimizing the training and inference of these models building real world solutions to meet the customer use cases is preferred. Proven track record of publishing in major AI conferences and demonstrated experience working in industry will be preferred.
Job Location : Bellevue WA or Austin TX.
Key job responsibilities
Candidates will be responsible for developing Foundational AI solutions to serve the myriad of decision support use cases across last mile. In this role you will be expected to define new research avenues explore adopt and invent new machine learning techniques implement scalable science and engineering solutions contribute software to production systems conduct rigorous experiments publish results influence technical and business leadership and ensuring that research is translated into practice. You will be working with a team of scientists and engineers helping shape the strategic and tactical vision and contribute hands on to foundational research efforts in last mile.
A day in the life
Sitting at the core of Amazons Last Mile business Routing and Planning (RaP) invents technology solutions that deliver toward the RaP vision: to create earths safest most adaptive and efficient plans for Last Mile logistics. RaP serves a diverse set of external and internal customers. For Amazon End Customers and transporters we build solutions to deliver 11B packages and services to arrive at the right place and time while meeting the growing preference for speed and precision. For internal customers we build and delivery routing solutions Worldwide adding up to a $1B USD across multiple amazon businesses ranging from Amazon Logistics Amazon Xtra Large to Same/SubSame Day Deliveries Fresh and Groceries etc using multiple mode of transports. If the opportunity to innovate create and deliver firsttime solutions alongside worldclass engineers and scientists e.g. building a new delivery foundational model from scratch utilizing data at an unprecedented scale in the industry excites you this is the place for you.
About the team
The Last Mile (LM) Science organization serves two primary functions: 1 maintaining and enhancing the components which provide the essential intelligence in nearly every LM system and 2 creating the science which will enable the continued growth of Amazon in the future. The systems used on a daily basis by the Last Mile to deliver packages from the station to the customers doorstep contains embedded models developed by the science team or relies on inputs derived from these models. These models determine how efficiently Amazon can serve its customers and at what cost.
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
Knowledge of programming languages such as C/C Python Java or Perl
Experience with neural deep learning methods and machine learning
Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability
Experience using managed ML/AI solutions
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 $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 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.
We are looking for candidates with knowledge and experience in designing and developing stateofart AI solutions (including development and application of advanced deep learning algorithms foundational models multimodal generative AI solutions reinforcement learning) to join our team. Demonstrated experience scaling and optimizing the training and inference of these models building real world solutions to meet the customer use cases is preferred. Proven track record of publishing in major AI conferences and demonstrated experience working in industry will be preferred.
Job Location : Bellevue WA or Austin TX.
Key job responsibilities
Candidates will be responsible for developing Foundational AI solutions to serve the myriad of decision support use cases across last mile. In this role you will be expected to define new research avenues explore adopt and invent new machine learning techniques implement scalable science and engineering solutions contribute software to production systems conduct rigorous experiments publish results influence technical and business leadership and ensuring that research is translated into practice. You will be working with a team of scientists and engineers helping shape the strategic and tactical vision and contribute hands on to foundational research efforts in last mile.
A day in the life
Sitting at the core of Amazons Last Mile business Routing and Planning (RaP) invents technology solutions that deliver toward the RaP vision: to create earths safest most adaptive and efficient plans for Last Mile logistics. RaP serves a diverse set of external and internal customers. For Amazon End Customers and transporters we build solutions to deliver 11B packages and services to arrive at the right place and time while meeting the growing preference for speed and precision. For internal customers we build and delivery routing solutions Worldwide adding up to a $1B USD across multiple amazon businesses ranging from Amazon Logistics Amazon Xtra Large to Same/SubSame Day Deliveries Fresh and Groceries etc using multiple mode of transports. If the opportunity to innovate create and deliver firsttime solutions alongside worldclass engineers and scientists e.g. building a new delivery foundational model from scratch utilizing data at an unprecedented scale in the industry excites you this is the place for you.
About the team
The Last Mile (LM) Science organization serves two primary functions: 1 maintaining and enhancing the components which provide the essential intelligence in nearly every LM system and 2 creating the science which will enable the continued growth of Amazon in the future. The systems used on a daily basis by the Last Mile to deliver packages from the station to the customers doorstep contains embedded models developed by the science team or relies on inputs derived from these models. These models determine how efficiently Amazon can serve its customers and at what cost.
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
Knowledge of programming languages such as C/C Python Java or Perl
Experience with neural deep learning methods and machine learning
Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability
Experience using managed ML/AI solutions
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 $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 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.
Required Experience:
Senior IC
Employment Type
Full-Time
Key Skills
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