Come join the Alexa Audio team working on Alexa a completely new product that powers all of our devices and services. This is an opportunity to work with latest machine learning techniques and inventing the future.
Alexa Audio is responsible for fulfilling customers requests for all types of audio content (Music Radio Podcasts Books generative audio) across all Alexa enabled devices. This covers a broad set of experiences including search browse recommendations playback and multi-device grouping and controls.
We are seeking a talented self-directed Applied Scientists who would come up with state of the art search and recommendation techniques and help develop new generative experiences. This is a unique opportunity where you will be working on latest technologies including LLMs and also see it impact customers lives in meaningful ways.
Responsibilities - Apply advance state-of-the-art artificial intelligence techniques and develop algorithms in areas of personalization voice based dialogue systems and natural language information retrieval. - Design scientifically sound online experiments and offline simulations to study and improve products. - Work closely with talented engineers to create scalable models and put them to production. - Perform statistical analyses on large data sets identify problems and propose solutions. - Work with partner science teams to identify collaboration opportunities.
Work hard. Have fun. Make history.
- 3 years of building machine learning models for business application experience - PhD or Masters degree and 6 years of applied research experience - Experience programming in Java C Python or related language - Experience with neural deep learning methods and machine learning
- Experience with modeling tools such as R scikit-learn Spark MLLib MxNet Tensorflow numpy scipy etc. - Experience with large scale distributed systems such as Hadoop Spark etc.
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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