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 stateoftheart contextaware 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 selfmotivated 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 a Senior 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 recommendations and conversations. Your work will directly impact our customers in the form of products and services that make use of various machine learing deep learning and language model technologies. You will leverage Amazons heterogeneous data sources and largescale computing resources to accelerate advances in the state of art.
PhD in engineering technology computer science machine learning robotics operations research statistics mathematics or equivalent quantitative field or Masters degree
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
PhD in Electrical Engineering Computer Sciences or Mathematics with specialties in natural language processing recommendation system information retrieval or reinforcement learning
4 years experience in building machine learning and deep learning models for large scale customer facing product of features
Hands on experience with LLMs
Publications at peerreviewed NLP/ML conferences (e.g. ACL EMNLP NAACL NeurIPS ICLR ICML AAAI)
Scientific thinking and the ability to invent a track record of thought leadership and contributions that have advanced the field
Solid software development experience
Good written and spoken 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.
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.
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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.