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Imaging and Machine Learning Research Scientist At AIRY:3D

Location

Montréal, Quebec

Job Description

We re looking to add even more imaging and machine learning expertise to our team. This opportunity involves an exciting mix of research and applied algorithm development with a particular focus on depth.

Who we are and what we do

Based in Montreal and spun out of TandemLaunch (www.tandemlaunch.com), AIRY3D has completed its first round of financing. In conjunction with a top-tier camera sensor OEM, the hardware component of our DepthIQ platform has been built at wafer-scale. Our proof-of-concept demonstrations have garnered significant interest from top-tier consumer electronics companies serving the smartphone, AR/VR, automotive and industrial markets.

What are we looking for?

As a Machine Learning Research Scientist, you will be working alongside our Chief Research Scientist to drive the technology roadmap and develop new AI capabilities for future generations of 3D computer vision products. You will work closely with the team to bring new and enhanced products to market by ensuring all viable avenues are explored.

What you ll do:

What you bring to our team?

Bonus points

What's it like working in our team?

We believe in creating disruptive technology in a workplace with great work ethics, where we truly enjoy what we are doing and the diversity of those we work with. All while having fun and not taking ourselves too seriously! We offer a flexible schedule, vibrant Mile End location with rooftop terrace, health insurance and stock options. If you are genuinely excited about contributing to our success, we d love to hear from you.

What can I expect when I submit my application?

Our recruitment partner Pivot and Edge will review your application and either schedule a conversation with you or let you know that we re passing on your candidacy within 5 business days.

What does the interview process involve?

The first step is a conversation with Pivot and Edge where the focus will be on the human side of things. If you exhibit a high potential to be successful in our environment, a short video interview will allow you to demonstrate your technical capabilities. After we review your response, you may be asked to talk shop with some of our engineers and leaders. Assuming you re one of our finalists, we ll be sure to give you a tour of the office and introduce you to some of your future teammates. Throughout the process, we want to make sure that we re the right fit for each other both technically and culturally so please interview us at every step!

Job Type: Full-time

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