Machine Learning Engineer at Leap Tools
Remote, British Columbia, Canada -
Full Time


Start Date

Immediate

Expiry Date

11 Dec, 25

Salary

0.0

Posted On

12 Sep, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

It, Python, Computer Science, Algorithms, Models, Machine Learning

Industry

Information Technology/IT

Description

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.

REQUIREMENTS

  • Your expertise in Machine Learning isn’t just about models and algorithms; it’s about driving tangible, user-centric solutions.
  • You are willing and able to tackle unsolved problems without supervision or much guidance after you collaborate with your team members on initial designs.
  • You are persistent, despite days, weeks, or even months of disappointing results, maintaining the same level of determination as on day one.
  • You have a strong foundation in computer science and are very comfortable coding in Python.
  • You have read papers on machine learning topics and implemented your own versions of the papers.
  • You’re hands-on with data: from collection and cleaning to putting together evaluation sets.
  • Challenges? Bring them on. You thrive when you’re pushing the boundaries of what Machine Learning can achieve.

How To Apply:

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Responsibilities
  • Innovative Vision: Spearhead machine learning initiatives to instantly generate and visualize a vast array of home décor items, transforming browsers into personalized interior design studios.
  • Holistic Redecoration: 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.
  • Adaptive Product Rendering: Implement machine learning techniques to adapt and present décor products in real-time based on user preferences, room dimensions, and existing furnishings.
  • User-Centric Design: Work closely with interior design experts, UX/UI designers, and development teams to constantly refine models and enhance realism.
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