Applied Scientist II, Alexa AI, Alexa+
Applied Scientist II, Alexa AI, Alexa+
Posted on :
23-07-2025
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1 Vacancy
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Job Description
We are a part of Amazon Alexa Devices organization with the mission delight customers through contextual and personalized proactive experiences that keep customers informed engaged and productive without cognitive burden.
We are developing an advanced system using Large Language Model (LLM) technologies to deliver engaging intuitive and adaptive content recommendations across all Amazon surfaces. We aim to facilitate seamless reasoning and customer experiences surpassing the capabilities of previous machine learning models. We are looking for a passionate talented and resourceful Applied Scientist in the field of Natural Language Processing (NLP) Recommender Systems and/or Information Retrieval to invent and build scalable solutions for a state-of-the-art context-aware speech assistant. A successful candidate will have strong machine learning background and a desire to push the envelope in one or more of the above areas. The ideal candidate would also enjoy operating in dynamic environments be self-motivated to take on challenging problems to deliver big customer impact shipping solutions via rapid experimentation and then iterating on user feedback and interactions.
Key job responsibilities
As an Applied Scientist on the team you will collaborate with other applied scientists and engineers to develop novel algorithms to enable timely relevant and delightful recommendations and conversations. Your work will directly impact our customers in the form of products and services that make use of various machine learning deep learning and language model technologies. You will leverage Amazons heterogeneous data sources and large-scale computing resources to accelerate advances in the state of art.
- 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 any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing high-performance computing
- PhD in Electrical Engineering Computer Sciences or Mathematics with specialties in natural language processing recommendation system information retrieval
- 2 years experience in building machine learning or deep learning models for large scale customer facing product or features.
- Publications at peer-reviewed NLP/ML conferences (e.g. ACL EMNLP NAACL NeurIPS ICLR ICML AAAI)
- Solid software development experience
- Good written and verbal communication skills
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 job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on 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.
We are developing an advanced system using Large Language Model (LLM) technologies to deliver engaging intuitive and adaptive content recommendations across all Amazon surfaces. We aim to facilitate seamless reasoning and customer experiences surpassing the capabilities of previous machine learning models. We are looking for a passionate talented and resourceful Applied Scientist in the field of Natural Language Processing (NLP) Recommender Systems and/or Information Retrieval to invent and build scalable solutions for a state-of-the-art context-aware speech assistant. A successful candidate will have strong machine learning background and a desire to push the envelope in one or more of the above areas. The ideal candidate would also enjoy operating in dynamic environments be self-motivated to take on challenging problems to deliver big customer impact shipping solutions via rapid experimentation and then iterating on user feedback and interactions.
Key job responsibilities
As an Applied Scientist on the team you will collaborate with other applied scientists and engineers to develop novel algorithms to enable timely relevant and delightful recommendations and conversations. Your work will directly impact our customers in the form of products and services that make use of various machine learning deep learning and language model technologies. You will leverage Amazons heterogeneous data sources and large-scale computing resources to accelerate advances in the state of art.
- 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 any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing high-performance computing
- PhD in Electrical Engineering Computer Sciences or Mathematics with specialties in natural language processing recommendation system information retrieval
- 2 years experience in building machine learning or deep learning models for large scale customer facing product or features.
- Publications at peer-reviewed NLP/ML conferences (e.g. ACL EMNLP NAACL NeurIPS ICLR ICML AAAI)
- Solid software development experience
- Good written and verbal communication skills
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 job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on 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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