Applied Scientist, Alexa Edge AI

Amazon; Sunnyvale (CA); On-site; USD 136,000 - 224,000; Full time

Job summary

A leading company in AI technology is seeking an Applied Scientist to join their Alexa Edge AI team. The role focuses on developing advanced algorithms and computer vision models that enhance customer experiences across various applications. This position offers the opportunity to work with cutting-edge technology within a dynamic team, making significant contributions to product development.

Benefits

Medical benefits

401(k) plans

Equity

Employee discounts

Qualifications

• PhD, or Master's degree and 4+ years of experience in CS, CE, ML or related field.
• 1+ years building models for business applications.
• Experience developing deep learning algorithms.

Responsibilities

• Develop novel algorithms and modeling techniques for multimodal models.
• Run experiments, research new algorithms, and optimize customer experience.
• Work closely with engineers to put algorithms into production.

Skills

C++

Python

Deep Learning

Computer Vision

Education

PhD or Master's degree in CS, CE, or ML

Job description

The Alexa Edge AI team under Alexa Ambient Computing Tech Organization is looking for a passionate, talented, and inventive Applied Scientist with a strong deep learning background, to help build industry-leading technology with computer vision, speech and multimodal perception models for various edge applications.

Key job responsibilities
As an Applied Scientist with the Alexa Edge AI team, you will work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art with multimodal models with an emphasis on computer vision. Your work will directly impact our customers in the form of products and services that make use of CV technology. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances within perception domain.

A day in the life
An Applied Scientist with the Alexa Edge AI team will support science solution design, run experiments, research new algorithms, and find new ways of optimizing the customer experience; while setting examples for the team on good science practice and standards. Besides theoretical analysis and innovation, an Applied Scientist will also work closely with talented engineers and scientists to put algorithms and models into production.

About the team
The Alexa Edge AI team has a mission to deliver best in class, resource efficient multimodal AI models in support of various perception (vision, audio and speech) based applications for devices like Echo Show series within Amazon.

BASIC QUALIFICATIONS

- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- 1+ years of building models for business application experience
- Experience programming in C++, Python or related language
- Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms

PREFERRED QUALIFICATIONS

- Experience in Vision Language Models OR Audio-Video fusion OR Speech understanding OR multi-modal LLMs
- Experience with optimizing computer vision models for on-device deployment (pruning, quantization, distillation, etc.)
- Effective verbal and written communication skills with non-technical and technical audiences.

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/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 https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.

Based on your recent activity, you may be interested in:

Posted: November 12, 2024 (Updated 29 days ago)

Posted: March 26, 2025 (Updated 2 months ago)

Posted: December 10, 2024 (Updated about 2 months ago)

Posted: May 30, 2025 (Updated 12 days ago)

Posted: December 10, 2024 (Updated about 2 months ago)

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.