Machine Learning Engineer
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 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. 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. We hire humans, not job descriptions. You should apply even if this role and salary range don't align with your experience. We’re happy to create unique roles and compensation for the right talent. 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
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.
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. About our culture We're a remote-first company that encourages our employees to work from where they're most productive. We work in tight-knit teams to cultivate an ownership mentality. We cherish curiosity and an obsession for details because we know these details are invaluable over the long run. We're hyper-focused on our achievements and our ability to execute our promises. We act with urgency. Work anywhere in the world for up to 3 months! We value families, by offering a parental leave program We offer a work-from-home stipend Your birthday (and our company's birthday) is a day off! 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. AI in Recruitment - At Leap Tools, we leverage AI technology to enhance our recruitment process. These tools assist with tasks such as resume screening, sourcing prospective candidates, and to support administrative tasks for enhanced operational efficiency. Founders and senior leadership are directly involved in our recruitment process, and AI is never used to make the final hiring decision. We are committed to the responsible use of AI in our hiring practices. Expected salary range, junior level, Ontario based: $70,000 - $100,000 + other benefits. We value exceptional talent above all else. If your expectations or seniority sit outside the stated range, you should still apply. We can scale roles and compensation to match your unique situation. This is a net new position on the team. 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 [email protected] Take the Leap. Apply now. Our demo, in case you missed it: https://www.roomvo.com/rugdemo4r You should apply to this job even if you don't fit this role perfectly because we can create a new role for you with corresponding compensation. Apply To This Job