Sr. Applied Scientist, Hardware Silicon and Systems Group

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, you'll contribute to science solution design, conduct experiments, explore new algorithms, develop embedded inference pipelines, and discover ways to enrich our customer experiences. You'll 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.

Basic Qualifications

- 3+ years of building machine learning models for business application experience
- PhD, or Master's 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

Preferred Qualifications

- 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 Company’s 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.