Sr. Applied Scientist, Alexa Edge AI

Amazon; Toronto; On-site; CAD 90,000 - 150,000; Full time

Job summary

A forward-thinking company is seeking a passionate Applied Scientist to join the Alexa Edge AI team. This exciting role involves leading the development of cutting-edge multimodal AI models, focusing on computer vision and speech technologies. You will work alongside talented peers to innovate and optimize algorithms that enhance customer experiences. With access to vast data sources and advanced computing resources, your contributions will directly impact the development of industry-leading products. If you are ready to make a difference in AI and shape the future of technology, this is the perfect opportunity for you.

Qualifications

• 3+ years of experience in building machine learning models for business applications.
• PhD or Master's degree with 6+ years of applied research experience.

Responsibilities

• Lead the development of novel algorithms and modeling techniques.
• Collaborate with engineers to put algorithms into production.

Skills

Machine Learning

Deep Learning

Computer Vision

Java

C++

Python

Audio-Video Processing

Vision Language Models

Education

PhD in Computer Science

Master's Degree in Computer Science

Job description

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.