Machine Learning Engineer

Overview

You're driven by the potential of machine learning and AI in transforming the world. You thrive on crafting intricate algorithms that power seamless, user-centric experiences. Every pixel and every frame matter to you, and you're eager to pioneer solutions that will redefine how people redesign their spaces. Feel like you're on the edge of a breakthrough, but need the right platform? Join us. With our elite tech squad, you'll take our revolutionary digital décor tools beyond the horizon!

At Leap Tools, we are building the world's most advanced solutions for the interior décor industry. With customers in 80+ countries, our clientele includes Fortune 500 companies such as Home Depot, local retailers such as Alexanian's, and everything in between. We have been recognized as one of the fastest-growing tech companies by Deloitte for multiple years in a row, and we are looking for ambitious challenge-seekers to fuel our momentum and help us create an iconic global tech company.

About Our Product

Our technology lets you see products in your own room before you buy. Imagine you want to redesign your home and have been searching for new tiles for your kitchen or a new rug for your living room. You definitely want to make sure it will look good in your space. We enable that through cutting-edge computer vision technology, presented in an extraordinarily simple and accessible way.

Try our rug demo now! Simply upload a picture of your room using your mobile phone and slide the rug under your coffee table.

About you

You have a passion for solving complex problems and working on products used by millions of people. You enjoy setting the bar high and clearing it. You can lead by example, but you know when to step aside and let the team run with the ball. Your technical knowledge is matched only by your passion to design, create, and succeed with others.

You want to build on your experience. You are interested in making a big impact, but perhaps you are currently limited in your growth potential. Join us and you will work directly with our talented engineering team to push our product to new heights.

About our Stack

• Mostly PyTorch, some Tensorflow, as well as our own in-house systems
• Python and Django
• gRPC
• Kubernetes on AWS

What You'll Do

Requirements

About our culture

About our hiring process

Now : You upload your resume and complete a brief questionnaire.

Steps 1 and 2 : Two rounds of technical assessment.

Step 3 : Culture fit assessment.

Step 4 : Final interview with leadership.

Step 5 : You receive an offer.

Take the Leap. Apply now.

Our demo, in case you missed it :

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