Applied Scientist Climate Pledge Friendly
Applied Scientist Climate Pledge Friendly
Posted on :
28-04-2025
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1 Vacancy
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Job Description
Climate Pledge Friendly helps customers discover and shop for products that are more sustainable. We partner with trusted sustainability certifications to highlight products that meet strict standards and help preserve the natural world. By shifting customer demand towards more sustainable products we incentivize selling partners to build better selection creating a cycle that yields significant environmental benefit at scale.
We are seeking a Applied Scientist who is not just adept in the theoretical aspects of Machine Learning (ML) Artificial Intelligence (AI) and Large Language Models (LLMs) but also possesses a pragmatic handson approach to navigating the complexities of innovation. You will take the lead in conceptualizing building and launching models that significantly improve our shopping experience. A successful applicant will display a comprehensive skill set across machine learning model development implementation and optimization. This includes a strong foundation in data management software engineering best practices and a keen awareness of the latest developments in distributed systems technology.
You will work with business leaders scientists and engineers to translate business and functional requirements into concrete deliverables including the design development testing and deployment of highly scalable distributed ML models and services. The types of initiatives you can expect to work on include a) detection of sustainability intent in a customers shopping journey b) personalized recommendations that help our customers find the right sustainable products c) strategies to incorporate sustainability features into ranking models and d) models to measure the environmental and econometric impacts of sustainable shopping.
Key job responsibilities
To be successful you must have expertise using machine learning data mining and statistical techniques to create actionable meaningful and scalable solutions to complex business problems. You should have a practical understanding of strength and weakness of various scientific approaches and excellent communication skills to communicate complex technical concepts with a range of technical and nontechnical audience.
As a Applied Scientist for Climate Pledge Friendly you will
Design develop and evaluate highly innovative models and statistical approaches to understand and predict customer behavior and to solve business problems.
Collaborate with crossfunctional teams to identify requirements for ML experiments focusing on enhancing our mission understanding through innovative AI techniques.
Design and implement scalable ML models capable of processing and analyzing large datasets to improve sustainable shopping.
Leverage Agentic workflows and tune foundational models (LLM/LMM/RAG) applying advanced ML techniques to optimize science solutions.
Facilitate collaboration across teams working on similar problems and serve as a technical lead and liaison for shared projects.
Build a roadmap of science investments necessary for the team to evolve the shopping experience.
About the team
The Climate Pledge Friendly core team is highly motivated team of engineers scientists product managers designers. This is still Day 1 for our program and you will have the opportunity to help us craft a science based vision for the future.
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
Experience using Unix/Linux
Experience in professional software development
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 $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.
We are seeking a Applied Scientist who is not just adept in the theoretical aspects of Machine Learning (ML) Artificial Intelligence (AI) and Large Language Models (LLMs) but also possesses a pragmatic handson approach to navigating the complexities of innovation. You will take the lead in conceptualizing building and launching models that significantly improve our shopping experience. A successful applicant will display a comprehensive skill set across machine learning model development implementation and optimization. This includes a strong foundation in data management software engineering best practices and a keen awareness of the latest developments in distributed systems technology.
You will work with business leaders scientists and engineers to translate business and functional requirements into concrete deliverables including the design development testing and deployment of highly scalable distributed ML models and services. The types of initiatives you can expect to work on include a) detection of sustainability intent in a customers shopping journey b) personalized recommendations that help our customers find the right sustainable products c) strategies to incorporate sustainability features into ranking models and d) models to measure the environmental and econometric impacts of sustainable shopping.
Key job responsibilities
To be successful you must have expertise using machine learning data mining and statistical techniques to create actionable meaningful and scalable solutions to complex business problems. You should have a practical understanding of strength and weakness of various scientific approaches and excellent communication skills to communicate complex technical concepts with a range of technical and nontechnical audience.
As a Applied Scientist for Climate Pledge Friendly you will
Design develop and evaluate highly innovative models and statistical approaches to understand and predict customer behavior and to solve business problems.
Collaborate with crossfunctional teams to identify requirements for ML experiments focusing on enhancing our mission understanding through innovative AI techniques.
Design and implement scalable ML models capable of processing and analyzing large datasets to improve sustainable shopping.
Leverage Agentic workflows and tune foundational models (LLM/LMM/RAG) applying advanced ML techniques to optimize science solutions.
Facilitate collaboration across teams working on similar problems and serve as a technical lead and liaison for shared projects.
Build a roadmap of science investments necessary for the team to evolve the shopping experience.
About the team
The Climate Pledge Friendly core team is highly motivated team of engineers scientists product managers designers. This is still Day 1 for our program and you will have the opportunity to help us craft a science based vision for the future.
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
Experience using Unix/Linux
Experience in professional software development
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 $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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