Sr. Applied Scientist, Alexa Edge AI

Amazon; Toronto; On-site; CAD 80,000 - 140,000; Full time

Job summary

Join a forward-thinking team at a leading tech company, where you will be at the forefront of developing cutting-edge AI solutions. As a Senior Applied Scientist, you will leverage your expertise in machine learning and deep learning to create innovative models that enhance customer experiences across various applications. Collaborate with talented peers to push the boundaries of computer vision and multimodal perception, while also leading technical discussions and guiding the team in best practices. This is an exciting opportunity to make a significant impact in the field of AI and contribute to groundbreaking projects that shape the future of technology.

Qualifications

• 3+ years of building machine learning models for business applications.
• Experience developing deep learning algorithms, especially for computer vision.

Responsibilities

• Lead the development of novel algorithms and modeling techniques.
• Run experiments and research new algorithms to optimize customer experience.

Skills

Machine Learning

Deep Learning

Computer Vision

Java

C++

Python

Audio-Video Processing

Communication Skills

Education

PhD in a related field

Master's degree in a related field

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 a Sr. Applied Scientist with the Alexa Edge AI team, you will lead the 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
A Sr. Applied Scientist with the Alexa Edge AI team will lead 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, a Sr. Applied Scientist will also work closely with talented engineers and scientists to put algorithms and models into production.
A Sr. Scientist in this role will flex between hands on work and leading technical discussions towards delivering key solutions

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

- 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 developing and implementing deep learning algorithms, particularly with respect to computer vision or Audio-video processing algorithms.

PREFERRED QUALIFICATIONS

- Experience with leading computer vision or other deep learning based model development for on-device deployment.
- Experience in Vision Language Models, Audio-Video fusion and multi-modal LLMs or Speech recognition.
- Excellent verbal and written communication skills with non-technical and technical audience.

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

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.

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