Amazon Devices is an inventive research and development company that designs and engineer high-profile devices like Echo Fire Tablets Fire TV and other consumer devices. We are looking for exceptional scientists to join our Applied Science team to help build industry-leading technology with multimodal language models for various edge applications. This role is for a Sr. Applied Scientist to lead science efforts for on-device inference pipelines and orchestration working closely with cross-functional product and engineering teams to invent design develop and validate new AI features for our devices.
Key job responsibilities
* Lead cross-functional efforts to invent design develop and validate new AI features for our devices
* Invent build and evaluate model inference and orchestrations to enable new customer experiences
* Drive partnerships with product and engineering teams to implement algorithms and models in production
* Train and optimize state-of-the-art multimodal models for resource-efficient deployment
* Work closely with compiler engineers hardware architects data collection and product teams
A day in the life
As an Applied Scientist with the Silicon and Solutions Group Edge AI team youll contribute to science solution design conduct experiments explore new algorithms develop embedded inference pipelines and discover ways to enrich our customer experiences. Youll have opportunities to collaborate across teams of engineers and scientists to bring algorithms and models to production.
About the team
Our Devices team specializes in inventing new-to-world category creating products using advanced machine learning technologies. This role is on a new cross-functional team whose cadence and structure resembles an efficient and fast-paced startup with rapid growth and development opportunities.
- 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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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 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.