Applied Scientist II AMZL Learning Product
Applied Scientist II AMZL Learning Product
Posted on :
24-04-2025
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1 Vacancy
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Job Description
The Learning & Development Science team in Amazon Logistics (AMZL) builds stateoftheart Artificial Intelligence (AI) solutions for enhancing leadership and associate development within the organization. We develop technology and mechanisms to map the learner journeys answer realtime questions through chat assistants and drive the right interventions at the right time. As an Applied Scientist on the team you will play a critical role in driving the design research and development of these science initiatives.
The ideal candidate will lead the research on learning and development trends and develop impactful learning journey roadmap that align with organizational goals and priorities. By parsing the information of different learning courses they will utilize the latest advances in Gen AI technology to address the personalized questions in realtime from the leadership and associates through chat assistants. Post the learning interventions the candidate will apply causal inference or A/B experimentation frameworks to assess the associated impact of these learning programs on associate performance. As a part of this role this candidate will collaborate with a large team of experts in the field and move the state of learning experience research forward. They should have the ability to communicate the science insights effectively to both technical and nontechnical audiences.
Key job responsibilities
* Apply science models to extract actionable information from learning feedback
* Leverage GenAI/Large Language Model (LLM) technology for scaling and automating learning experience workflows
* Design and implement metrics to evaluate the effectiveness of AI models
* Present deep dives and analysis to both technical and nontechnical stakeholders ensuring clarity and understanding and influencing business partners
* Perform statistical analysis and statistical tests including hypothesis testing and A/B testing
* Recognize and adopt best practices in reporting and analysis: data integrity test design analysis validation and documentation
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
Hands on experience building models with deep learning frameworks like MXNet Tensorflow or PyTorch
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 ideal candidate will lead the research on learning and development trends and develop impactful learning journey roadmap that align with organizational goals and priorities. By parsing the information of different learning courses they will utilize the latest advances in Gen AI technology to address the personalized questions in realtime from the leadership and associates through chat assistants. Post the learning interventions the candidate will apply causal inference or A/B experimentation frameworks to assess the associated impact of these learning programs on associate performance. As a part of this role this candidate will collaborate with a large team of experts in the field and move the state of learning experience research forward. They should have the ability to communicate the science insights effectively to both technical and nontechnical audiences.
Key job responsibilities
* Apply science models to extract actionable information from learning feedback
* Leverage GenAI/Large Language Model (LLM) technology for scaling and automating learning experience workflows
* Design and implement metrics to evaluate the effectiveness of AI models
* Present deep dives and analysis to both technical and nontechnical stakeholders ensuring clarity and understanding and influencing business partners
* Perform statistical analysis and statistical tests including hypothesis testing and A/B testing
* Recognize and adopt best practices in reporting and analysis: data integrity test design analysis validation and documentation
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
Hands on experience building models with deep learning frameworks like MXNet Tensorflow or PyTorch
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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