Applied Scientist II Amazon Smart Vehicles
Applied Scientist II Amazon Smart Vehicles
Posted on :
14-04-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 136000 - 223400
Vacancy
1 Vacancy
Posted on :
14-04-2025
Job Description
The Amazon Smart Vehicles (ASV) science team is seeking a passionate and skilled Applied Scientist with extensive expertise in advanced LLM technologies.
This role involves innovating in rapidly evolving areas of AI research focusing on creating personalized services to enhance drivers and passengers experiences. Your work will aim to simplify their lives keep them informed entertained productive and safe on the road with direct application to prominent Amazon products.
If you have extensive expertise in LLMs natural language processing and machine learning along with experience in highperforming research teams this could be the perfect opportunity for you. Our dynamic and fastpaced environment demands a high level of independence in decisionmaking and the ability to drive ambitious research initiatives through to production. You will collaborate closely with other science and engineering teams as well as business stakeholders to ensure your contributions are both impactful and delivered with maximum efficiency.
Key job responsibilities
Leverage Amazons heterogeneous data sources and largescale computing resources to accelerate advances in generative artificial intelligence (GenAI)
Work with talented peers to lead the development of novel algorithms and modeling techniques to advance the state of the art with LLMs
Collaborate with other science and engineering teams as well as business stakeholders to maximize the velocity and impact of your contributions.
About the team
This is an exciting moment to lead in AI research. As part of the Amazon Smart Vehicles science team you have the opportunity to shape the future by enhancing informationdriven experiences for Amazon customers around the globe. Your work will directly influence customers through innovative products and services powered by language and multimodal technology!
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 programming in Java C Python or related language
Experience in stateoftheart deep learning models architecture design and deep learning training and optimization and model pruning
1. Experience with modeling tools such as PyTorch SageMaker R scikitlearn Tensorflow numpy scipy etc.
2. PhD in math/statistics/engineering or other equivalent quantitative discipline
3. Publications at peerreviewed NLP/ML conferences (e.g. ACL EMNLP NAACL COLING NeurIPS ICLR ICML AAAI etc.
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 $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.
This role involves innovating in rapidly evolving areas of AI research focusing on creating personalized services to enhance drivers and passengers experiences. Your work will aim to simplify their lives keep them informed entertained productive and safe on the road with direct application to prominent Amazon products.
If you have extensive expertise in LLMs natural language processing and machine learning along with experience in highperforming research teams this could be the perfect opportunity for you. Our dynamic and fastpaced environment demands a high level of independence in decisionmaking and the ability to drive ambitious research initiatives through to production. You will collaborate closely with other science and engineering teams as well as business stakeholders to ensure your contributions are both impactful and delivered with maximum efficiency.
Key job responsibilities
Leverage Amazons heterogeneous data sources and largescale computing resources to accelerate advances in generative artificial intelligence (GenAI)
Work with talented peers to lead the development of novel algorithms and modeling techniques to advance the state of the art with LLMs
Collaborate with other science and engineering teams as well as business stakeholders to maximize the velocity and impact of your contributions.
About the team
This is an exciting moment to lead in AI research. As part of the Amazon Smart Vehicles science team you have the opportunity to shape the future by enhancing informationdriven experiences for Amazon customers around the globe. Your work will directly influence customers through innovative products and services powered by language and multimodal technology!
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 programming in Java C Python or related language
Experience in stateoftheart deep learning models architecture design and deep learning training and optimization and model pruning
1. Experience with modeling tools such as PyTorch SageMaker R scikitlearn Tensorflow numpy scipy etc.
2. PhD in math/statistics/engineering or other equivalent quantitative discipline
3. Publications at peerreviewed NLP/ML conferences (e.g. ACL EMNLP NAACL COLING NeurIPS ICLR ICML AAAI etc.
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 $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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