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Leap Tools
Machine Learning EngineerLeap Tools • Toronto, Canada
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Machine Learning Engineer

Machine Learning Engineer

Leap Tools • Toronto, Canada
6 days ago
Job type
  • Full-time
Job description
Company Overview 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.

Product Overview Our technology lets you preview products in your own room before you buy them. 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 you to do that through our proprietary cutting‑edge 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: https://www.roomvo.com/rugdemo...

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.

Technology Stack

Mostly PyTorch, some Tensorflow, as well as our own in‑house systems

Python and Django

gRPC

Kubernetes on AWS

Responsibilities

Spearhead machine learning initiatives to instantly generate and visualize a vast array of home décor items, transforming browsers into personalized interior design studios.

Use state‑of‑the‑art algorithms to offer users an all‑encompassing redecoration experience, seamlessly integrating wallpaper, flooring, countertops, and a plethora of other home essentials.

Implement machine learning techniques to adapt and present décor products in real‑time based on user preferences, room dimensions, and existing furnishings.

Work closely with interior design experts, UX/UI designers, and development teams to constantly refine models and enhance realism.

Requirements

Expertise in Machine Learning beyond models and algorithms; it is about driving tangible, user‑centric solutions.

Willingness and ability to tackle unsolved problems without supervision or much guidance after collaborating with team members on initial designs.

Persistence despite days, weeks, or even months of disappointing results, maintaining determination as on day one.

Strong foundation in computer science and very comfortable coding in Python.

Read and implement machine learning papers, including creating own versions of the papers.

Hands‑on with data, from collection and cleaning to creating evaluation sets.

Bring challenges; thrive when pushing the boundaries of what Machine Learning can achieve.

Culture & Benefits

Remote‑first company that encourages employees to work from where they are most productive.

Work in tight‑knit teams to cultivate an ownership mentality.

Value curiosity and an obsession for details, knowing they are invaluable over the long run.

Hyper‑focused on achievements and the ability to execute promises; act with urgency.

Work anywhere in the world for up to 3 months!

Offer parental leave program.

Provide work‑from‑home stipend.

Celebrate birthdays with a day off.

Leap Tools is an equal opportunity employer committed to fostering an inclusive, equitable, and accessible environment. Accommodations are available on request for candidates taking part in all aspects of the interview process. If you require any accommodation, please contact us at ta@leaptools.com.

Take the Leap. Apply now.

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Machine Learning Engineer • Toronto, Canada

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