Applied Scientist II - Multimodal Information RetrievalSearch AGI Level 5
Applied Scientist II - Multimodal Information RetrievalSearch AGI Level 5
Posted on :
23-04-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 136000 - 223400
Vacancy
1 Vacancy
Posted on :
23-04-2025
Job Description
We are seeking a passionate talented and inventive scientist to join the Amazon AGI team. As an Applied Scientist youll be at the forefront of developing intelligent systems that can seamlessly process understand and retrieve multimodal information.
Were seeking a creative problemsolver whos excited about architecting novel deep learning solutions for multimodal search and retrieval. Youll work on advancing the stateoftheart in visionlanguage models and multimodal embeddings while developing efficient and scalable algorithms for crossmodal retrieval. Your role will involve creating innovative solutions for multimodal ranking and relevance ultimately building the next generation of multimodal search systems that can understand and process information the way humans do.
Youll collaborate with a talented team of researchers and engineers contribute to research in multimodal search and see your innovations directly impact millions of customers. If youre passionate about multimodal search and want to shape the future of how machines understand and retrieve information across different modalities we want to hear from you.
Our team values research excellence and encourages publishing in toptier conferences while maintaining a strong focus on practical applications that benefit real users.
Key job responsibilities
As an Applied Scientist you will leverage your technical expertise and experience to demonstrate leadership in tackling large complex problems setting the direction and collaborating with applied scientists and engineers to develop novel algorithms and modeling techniques to enable timely relevant and delightful search experiences.
Develop stateoftheart multimodal search technology including training novel retrieval and ranking models for images/videos scaling models and optimizing performance partnering with engineering to deploy and debug model performance in production and building and scaling quality training data sets.
Leverage Amazons data and computing resources to accelerate advances in the state of the art in multimodal learning and information retrieval.
Work backwards from customer needs and use that information to make tradeoffs between different modeling approaches
Collaborate with software engineering teams to integrate successful experimental results into complex Amazon production systems
Report results to technical and business audiences in a manner that is statistically rigorous and compellingly relevant exemplifying good scientific practice in a business environment
Drive best practices helping to set high scientific and engineering standards on the team
Promote the culture of experimentation and applied science at Amazon
1 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 any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing highperformance computing
PhD in Computer Science/Engineering Machine Learning or related field with specialties in information retrieval recommendation system or multimodal learning.
Hands on experience with Visual LLMs
Publications at peerreviewed NLP/ML conferences (e.g. ACL EMNLP NAACL NeurIPS ICLR ICML AAAI CVPR)
Scientific thinking and the ability to invent a track record of thought leadership and contributions that have advanced the field
Experience with distributed systems web services or largescale data processing.
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.
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 $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.
Were seeking a creative problemsolver whos excited about architecting novel deep learning solutions for multimodal search and retrieval. Youll work on advancing the stateoftheart in visionlanguage models and multimodal embeddings while developing efficient and scalable algorithms for crossmodal retrieval. Your role will involve creating innovative solutions for multimodal ranking and relevance ultimately building the next generation of multimodal search systems that can understand and process information the way humans do.
Youll collaborate with a talented team of researchers and engineers contribute to research in multimodal search and see your innovations directly impact millions of customers. If youre passionate about multimodal search and want to shape the future of how machines understand and retrieve information across different modalities we want to hear from you.
Our team values research excellence and encourages publishing in toptier conferences while maintaining a strong focus on practical applications that benefit real users.
Key job responsibilities
As an Applied Scientist you will leverage your technical expertise and experience to demonstrate leadership in tackling large complex problems setting the direction and collaborating with applied scientists and engineers to develop novel algorithms and modeling techniques to enable timely relevant and delightful search experiences.
Develop stateoftheart multimodal search technology including training novel retrieval and ranking models for images/videos scaling models and optimizing performance partnering with engineering to deploy and debug model performance in production and building and scaling quality training data sets.
Leverage Amazons data and computing resources to accelerate advances in the state of the art in multimodal learning and information retrieval.
Work backwards from customer needs and use that information to make tradeoffs between different modeling approaches
Collaborate with software engineering teams to integrate successful experimental results into complex Amazon production systems
Report results to technical and business audiences in a manner that is statistically rigorous and compellingly relevant exemplifying good scientific practice in a business environment
Drive best practices helping to set high scientific and engineering standards on the team
Promote the culture of experimentation and applied science at Amazon
1 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 any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing highperformance computing
PhD in Computer Science/Engineering Machine Learning or related field with specialties in information retrieval recommendation system or multimodal learning.
Hands on experience with Visual LLMs
Publications at peerreviewed NLP/ML conferences (e.g. ACL EMNLP NAACL NeurIPS ICLR ICML AAAI CVPR)
Scientific thinking and the ability to invent a track record of thought leadership and contributions that have advanced the field
Experience with distributed systems web services or largescale data processing.
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.
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 $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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