Applied Scientist II WW Sustainability
Applied Scientist II WW Sustainability
Posted on :
01-05-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 136000 - 223400
Vacancy
1 Vacancy
Posted on :
01-05-2025
Job Description
Join us at Amazons sustainability initiatives to work on environmental and social advancements to support Amazons longterm worldwide sustainability strategy. At Amazon were working to be the most customercentric company on earth. To get there we need exceptionally talented bright and driven people.
The Worldwide Sustainability (WWS) organization capitalizes on Amazons scale & speed to build a more resilient and sustainable company. We manage our social and environmental impacts globally driving solutions that enable our customers businesses and the world around us to become more sustainable.
Sustainability Science and Innovation (SSI) is a multidisciplinary team within the WW Sustainability organization that combines science analytics economics statistics machine learning product development and engineering expertise. We use this expertise and skills to identify develop and evaluate the science and innovations necessary for Amazon customers and partners to meet their longterm sustainability goals and commitments.
We are seeking an Applied Scientist to join our AI and Sustainability team which builds machine learning and AI based tools and wellestablished solutions that support sustainability teams across Amazon throughout their sustainability journey enabling Amazon to accelerate the use of AI and progress toward our Climate Pledge sustainability commitments.
As an Applied Scientist youll be responsible for designing implementing and deploying state of the art solutions to build AIbased solutions (LLM models agents copilots RAGs etc. at scale for our longterm sustainability and climate commitments. Some examples of the problems you will work on include webscale document extraction and conversation as they relate to sustainability generation of decisiongrade environmental impact measurements for abatement planning tracking and reasoning generation of assurancegrade ESG reports novel supplier risk assessment automated claims and substantiation identification and sortation of waste streams measuring the environmental impact of generative AI across its life cycle and more. You will ensure AIbased experiences delivered by Amazon uphold our Climate Pledge sustainability commitments and develop datadriven foundational services that make sustainability more effective and efficient. You will collaborate with a diverse set of sustainability scientists subject matter experts engineers as well as internal partners and external researchers to develop innovative technologies that solve some of the complex and hardest sustainability problems as part of the listed examples above.
Key job responsibilities
Develop scalable and effective machinelearning models and optimization strategies to solve business problems.
Conduct research on new machinelearning and AI models and develop comprehensive data foundation accurate and scalable methods to solve our hardest sustainability problems.
Work closely with software engineers to deliver endtoend solutions into production
Partner with sustainability SMEs (carbon water waste ESG social responsibility etc. tech and science teams to drive modeling and technical design for complex problems define Develop scalable and effective machinelearning models and optimization strategies to solve business problems.
Conduct research on new machinelearning and AI models and develop comprehensive data foundation accurate and scalable methods to solve our hardest sustainability problems.
Work closely with software engineers to deliver endtoend solutions into production
Partner with sustainability SMEs (carbon water waste ESG social responsibility etc. tech and science teams to drive modeling and technical design for complex problems define
About the team
Diverse Experiences:
World Wide Sustainability values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
Inclusive Team Culture:
Its in our nature to learn and be curious. Our employeeled affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon (inclusive diversity) conferences inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth:
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledgesharing mentorship and other careeradvancing resources here to help you develop into a betterrounded professional.
Work/Life Balance:
We value worklife harmony. Achieving success at work should never come at the expense of sacrifices at home which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home theres nothing we cant achieve.
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
Develop scalable and effective machinelearning models and optimization strategies to solve business problems.
Conduct research on new machinelearning and AI models and develop comprehensive data foundation accurate and scalable methods to solve our hardest sustainability problems.
Work closely with software engineers to deliver endtoend solutions into production
Partner with sustainability SMEs (carbon water waste ESG social responsibility etc. tech and science teams to drive modeling and technical design for complex problems define
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.
The Worldwide Sustainability (WWS) organization capitalizes on Amazons scale & speed to build a more resilient and sustainable company. We manage our social and environmental impacts globally driving solutions that enable our customers businesses and the world around us to become more sustainable.
Sustainability Science and Innovation (SSI) is a multidisciplinary team within the WW Sustainability organization that combines science analytics economics statistics machine learning product development and engineering expertise. We use this expertise and skills to identify develop and evaluate the science and innovations necessary for Amazon customers and partners to meet their longterm sustainability goals and commitments.
We are seeking an Applied Scientist to join our AI and Sustainability team which builds machine learning and AI based tools and wellestablished solutions that support sustainability teams across Amazon throughout their sustainability journey enabling Amazon to accelerate the use of AI and progress toward our Climate Pledge sustainability commitments.
As an Applied Scientist youll be responsible for designing implementing and deploying state of the art solutions to build AIbased solutions (LLM models agents copilots RAGs etc. at scale for our longterm sustainability and climate commitments. Some examples of the problems you will work on include webscale document extraction and conversation as they relate to sustainability generation of decisiongrade environmental impact measurements for abatement planning tracking and reasoning generation of assurancegrade ESG reports novel supplier risk assessment automated claims and substantiation identification and sortation of waste streams measuring the environmental impact of generative AI across its life cycle and more. You will ensure AIbased experiences delivered by Amazon uphold our Climate Pledge sustainability commitments and develop datadriven foundational services that make sustainability more effective and efficient. You will collaborate with a diverse set of sustainability scientists subject matter experts engineers as well as internal partners and external researchers to develop innovative technologies that solve some of the complex and hardest sustainability problems as part of the listed examples above.
Key job responsibilities
Develop scalable and effective machinelearning models and optimization strategies to solve business problems.
Conduct research on new machinelearning and AI models and develop comprehensive data foundation accurate and scalable methods to solve our hardest sustainability problems.
Work closely with software engineers to deliver endtoend solutions into production
Partner with sustainability SMEs (carbon water waste ESG social responsibility etc. tech and science teams to drive modeling and technical design for complex problems define Develop scalable and effective machinelearning models and optimization strategies to solve business problems.
Conduct research on new machinelearning and AI models and develop comprehensive data foundation accurate and scalable methods to solve our hardest sustainability problems.
Work closely with software engineers to deliver endtoend solutions into production
Partner with sustainability SMEs (carbon water waste ESG social responsibility etc. tech and science teams to drive modeling and technical design for complex problems define
About the team
Diverse Experiences:
World Wide Sustainability values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
Inclusive Team Culture:
Its in our nature to learn and be curious. Our employeeled affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon (inclusive diversity) conferences inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth:
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledgesharing mentorship and other careeradvancing resources here to help you develop into a betterrounded professional.
Work/Life Balance:
We value worklife harmony. Achieving success at work should never come at the expense of sacrifices at home which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home theres nothing we cant achieve.
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
Develop scalable and effective machinelearning models and optimization strategies to solve business problems.
Conduct research on new machinelearning and AI models and develop comprehensive data foundation accurate and scalable methods to solve our hardest sustainability problems.
Work closely with software engineers to deliver endtoend solutions into production
Partner with sustainability SMEs (carbon water waste ESG social responsibility etc. tech and science teams to drive modeling and technical design for complex problems define
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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