Applied AI Scientist SCOT-SIA
Applied AI Scientist SCOT-SIA
Posted on :
01-05-2025
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1 Vacancy
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Job Description
The SCOTSIA (Science Intelligence and Analytics) team is seeking an Applied Scientist III to lead the development and implementation of AI/ML models that will transform labor planning and across Amazons Supply Chain operations. You will drive the scientific vision for nextgeneration intelligent automation systems that enhance decisionmaking optimize resource allocation and improve operational efficiency throughout our vast fulfillment networks across the world.
In this role you will tackle intrinsically hard previously unsolved problems in labor planning and . You will invent new scientific techniques and paradigms to address complex customer needs and business challenges at a product level. Your work will focus on developing and implementing stateoftheart large language models natural language processing and generative AI solutions to create more intelligent automated and userfriendly systems that revolutionize how we plan and execute our operations.
We are looking for a passionate and experienced scientist who can lead and mentor a team collaborate effectively across organizations and drive innovation that delivers significant business impact. You will work closely with technical and business partners to translate complex scientific concepts into practical solutions that delight our customers and optimize our operations.
Key job responsibilities
* Lead the design development and implementation of novel AI/ML models and algorithms for labor planning forecasting and optimization
* Drive the scientific vision for intelligent automation systems identifying key challenges and proposing innovative solutions that advance the state of the art
* Collaborate with crossfunctional teams to integrate AI solutions into production systems ensuring scalability reliability and performance
* Mentor junior scientists and engineers fostering a culture of scientific excellence and innovation
* Influence product strategy and roadmaps through datadriven insights and scientific expertise
* Develop and implement responsible AI practices including explainable AI techniques and ethical considerations
* Contribute to the broader scientific community through publications patents and conference presentations when aligned with business objectives
About the team
SCOT SIA (Science Intelligence & Analytics) serves as the research automation and insight arm of the Planning & team of NA Supply Chain org. SIA identifies technical gaps analytical opportunities and complex operational and planning trends within NACF in order to action them strategically and sustainably.
SIA Science team is the science wing of SIA that specifically focuses on the creation improvement and automation of labor planning models and processes. This is achieved through AI and ML modeling scientific analysis of existing processes and optimization techniques. Science team partners with tech & nontech partners to improve existing tech solutions and provide data driven recommendations for strategic model implementations.
PhD in Computer Science Machine Learning or a related field
5 years of industry or postPhD experience in applied machine learning with a focus on NLP LLMs or generative AI
Strong publication record in toptier peerreviewed AI/ML conferences or journals
Demonstrated experience building and deploying productiongrade AI systems including prompt engineering AI agent development and LLM optimization
Expertise in designing and implementing endtoend AIML systems from data processing to model deployment
Proficiency in Python and experience with deep learning frameworks such as PyTorch or TensorFlow
Excellent communication skills with the ability to explain complex technical concepts to both technical and nontechnical audiences
Demonstrated ability to lead technical projects and mentor junior team members
Experience with AWS AI/ML services and cloud computing architectures
Familiarity with supply chain optimization or workforce management problems
Track record of delivering AI/ML solutions that have driven significant business impact
Experience with explainable AI techniques and responsible AI practices
Familiarity with retrieval augmented generation (RAG) and other advanced LLM techniques
Contributions to opensource ML projects or development of internal ML platforms
Experience collaborating with product managers and business stakeholders to define and prioritize ML initiatives
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 $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.
In this role you will tackle intrinsically hard previously unsolved problems in labor planning and . You will invent new scientific techniques and paradigms to address complex customer needs and business challenges at a product level. Your work will focus on developing and implementing stateoftheart large language models natural language processing and generative AI solutions to create more intelligent automated and userfriendly systems that revolutionize how we plan and execute our operations.
We are looking for a passionate and experienced scientist who can lead and mentor a team collaborate effectively across organizations and drive innovation that delivers significant business impact. You will work closely with technical and business partners to translate complex scientific concepts into practical solutions that delight our customers and optimize our operations.
Key job responsibilities
* Lead the design development and implementation of novel AI/ML models and algorithms for labor planning forecasting and optimization
* Drive the scientific vision for intelligent automation systems identifying key challenges and proposing innovative solutions that advance the state of the art
* Collaborate with crossfunctional teams to integrate AI solutions into production systems ensuring scalability reliability and performance
* Mentor junior scientists and engineers fostering a culture of scientific excellence and innovation
* Influence product strategy and roadmaps through datadriven insights and scientific expertise
* Develop and implement responsible AI practices including explainable AI techniques and ethical considerations
* Contribute to the broader scientific community through publications patents and conference presentations when aligned with business objectives
About the team
SCOT SIA (Science Intelligence & Analytics) serves as the research automation and insight arm of the Planning & team of NA Supply Chain org. SIA identifies technical gaps analytical opportunities and complex operational and planning trends within NACF in order to action them strategically and sustainably.
SIA Science team is the science wing of SIA that specifically focuses on the creation improvement and automation of labor planning models and processes. This is achieved through AI and ML modeling scientific analysis of existing processes and optimization techniques. Science team partners with tech & nontech partners to improve existing tech solutions and provide data driven recommendations for strategic model implementations.
PhD in Computer Science Machine Learning or a related field
5 years of industry or postPhD experience in applied machine learning with a focus on NLP LLMs or generative AI
Strong publication record in toptier peerreviewed AI/ML conferences or journals
Demonstrated experience building and deploying productiongrade AI systems including prompt engineering AI agent development and LLM optimization
Expertise in designing and implementing endtoend AIML systems from data processing to model deployment
Proficiency in Python and experience with deep learning frameworks such as PyTorch or TensorFlow
Excellent communication skills with the ability to explain complex technical concepts to both technical and nontechnical audiences
Demonstrated ability to lead technical projects and mentor junior team members
Experience with AWS AI/ML services and cloud computing architectures
Familiarity with supply chain optimization or workforce management problems
Track record of delivering AI/ML solutions that have driven significant business impact
Experience with explainable AI techniques and responsible AI practices
Familiarity with retrieval augmented generation (RAG) and other advanced LLM techniques
Contributions to opensource ML projects or development of internal ML platforms
Experience collaborating with product managers and business stakeholders to define and prioritize ML initiatives
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 $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.
Employment Type
Full-Time
Key Skills
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