Sr. Applied Scientist, Fire TV Science
Sr. Applied Scientist, Fire TV Science
Posted on :
16-05-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 150400 - 260000
Vacancy
1 Vacancy
Posted on :
16-05-2025
Job Description
Help reinvent how millions of people watch TV! Fire TV remains the #1 bestselling streaming media player in the US with over 100 million active users. Our goal is to be the global leader in delivering entertainment inside and outside the home with the broadest selection of content innovative devices and personalized experiences for customers.
Our team is an interdisciplinary group of scientists working at the intersection of Recommender Systems Information Retrieval Machine Learning (ML) and Spoken Language Understanding (SLU). Through close collaboration with engineering and product teams we develop and deploy innovative algorithms that enhance content discovery and customer engagement on Fire TV. Our work directly contributes to making our devices delightful to use and indispensable for the household.
Key job responsibilities
Drive new AI initiatives primarily focused on Search systems with contributions to Recommendations and SLU applying Deep Learning GenAI and other ML techniques to improve Fire TV user experience
Perform handson data analysis and modeling with large data sets to develop insights that increase device usage and customer experience
Design and run A/B experiments evaluate the impact of your optimizations and communicate your results to various business stakeholders
Work closely with product managers and software engineers to design experiments and implement endtoend solutions
Setup and monitor alarms to detect anomalous data patterns and perform root cause analyses to explain and address them
Be a member of the Amazonwide Machine Learning Community participating in internal and external MeetUps Hackathons and Conferences
Help attract and recruit technical talent; mentor junior scientists
PhD or Masters degree and 6 years of applied research experience
3 years of building machine learning models for business application experience
Experience programming in Java C Python or related language
Experience with neural deep learning methods and machine learning
PhD in engineering technology computer science machine learning robotics operations research statistics mathematics or equivalent quantitative field
Experience with modeling tools such as R scikitlearn Spark MLLib MxNet Tensorflow numpy scipy etc.
Experience with large scale distributed systems such as Hadoop Spark etc.
Experience with Deep Learning for search and recommendation systems
Experience with NLP and LLM algorithms and tools a plus
Experience performing and interpreting A/B experiments
Excellent verbal/written communication skills including an ability to effectively collaborate with research and technical teams
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
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.
Our team is an interdisciplinary group of scientists working at the intersection of Recommender Systems Information Retrieval Machine Learning (ML) and Spoken Language Understanding (SLU). Through close collaboration with engineering and product teams we develop and deploy innovative algorithms that enhance content discovery and customer engagement on Fire TV. Our work directly contributes to making our devices delightful to use and indispensable for the household.
Key job responsibilities
Drive new AI initiatives primarily focused on Search systems with contributions to Recommendations and SLU applying Deep Learning GenAI and other ML techniques to improve Fire TV user experience
Perform handson data analysis and modeling with large data sets to develop insights that increase device usage and customer experience
Design and run A/B experiments evaluate the impact of your optimizations and communicate your results to various business stakeholders
Work closely with product managers and software engineers to design experiments and implement endtoend solutions
Setup and monitor alarms to detect anomalous data patterns and perform root cause analyses to explain and address them
Be a member of the Amazonwide Machine Learning Community participating in internal and external MeetUps Hackathons and Conferences
Help attract and recruit technical talent; mentor junior scientists
PhD or Masters degree and 6 years of applied research experience
3 years of building machine learning models for business application experience
Experience programming in Java C Python or related language
Experience with neural deep learning methods and machine learning
PhD in engineering technology computer science machine learning robotics operations research statistics mathematics or equivalent quantitative field
Experience with modeling tools such as R scikitlearn Spark MLLib MxNet Tensorflow numpy scipy etc.
Experience with large scale distributed systems such as Hadoop Spark etc.
Experience with Deep Learning for search and recommendation systems
Experience with NLP and LLM algorithms and tools a plus
Experience performing and interpreting A/B experiments
Excellent verbal/written communication skills including an ability to effectively collaborate with research and technical teams
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
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.
Required Experience:
Senior IC
Employment Type
Full-Time
Key Skills
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