Applied Scientist, Ring AI

Amazon Jobs; Toronto; On-site; CAD 100,000 - 120,000; Full time

Job summary

A global e-commerce leader is seeking a passionate scientist to innovate in computer vision and machine learning. Join a team dedicated to enhancing user experience through the development of highly optimized algorithms. Applicants should possess a PhD or a Master's degree with significant experience in deep learning and computer vision applications. This position offers a unique opportunity to impact millions of customers with your work.

Qualifications

• 4+ years of experience in computer science, computer engineering, or machine learning.
• Experience developing and implementing deep learning algorithms.
• Skilled in building models for business applications.

Responsibilities

• Design, develop, evaluate, and update data-driven models for computer vision.
• Research and implement state-of-the-art algorithms for Vision Language models.
• Collaborate with teams to implement machine learning features.

Skills

Experience in deep learning algorithms

Proven track record of innovation

Effective communication skills

Experience in Vision Language Models

Education

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

Tools

Java

C++

Python

Job description

Overview

Are you a passionate scientist in the computer vision area who aspires to apply your skills to bring value to millions of customers? Here at Ring, we have a unique opportunity to innovate and see how the results of our work improve the lives of millions of people and make neighborhoods safer.

You will be part of a team committed to pushing the frontier of computer vision and machine learning technology to deliver the best experience for our neighbors.

This is a great opportunity for you to innovate in this space by developing highly optimized algorithms that will work on scale. This position requires experience with developing Multi-modal LLMs and Vision Language Models. You will collaborate with different Amazon teams to make informed decisions on the best practices in machine learning to build highly-optimized integrated hardware and software platforms.

Responsibilities

• Participate in the design, development, evaluation, deployment and updating of data-driven models for computer vision applications.
• Research and implement the state-of-the-art computer vision and Vision Language models algorithms.
• Collaborate with product managers and engineering teams to design and implement computer vision and machine learning based features for Ring devices.
• Influence system design and product vision by making informed decisions on the selection of technology, data sources, algorithms, and sensors.

Qualifications

• PhD, or Master\'s degree and 4+ years of CS, CE, ML or related field experience
• Experience in building models for business application
• Experience programming in Java, C++, Python or related language
• Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms
• Proven track record of innovation in creating novel algorithms and advancing the state-of-the-art
• Experienced in prototyping, designing, implementing and deploying computer vision applications and tools
• Experience in Vision Language Models and LLMs
• Effective verbal and written communication skills with non-technical and technical audiences.
• Exhibits excellent business judgment; balances business, product, and technology very well.

Equal Opportunity

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.