Urgent! Machine Learning Engineer Job Opening In – Now Hiring Leap Tools
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: https://www.roomvo.com/rugdemo...
(https://www.roomvo.com/rugdemo4r)
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
+ 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.
+ We value work-life balance by offering generous time off
+ 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.
Take the Leap.
Apply now.
Our demo, in case you missed it: https://www.roomvo.com/rugdemo4r
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Unlock Your Machine Learning Potential: Insight & Career Growth Guide
Real-time Machine Learning Jobs Trends in , United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Machine Learning in , United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 10815 jobs in United States and 0 jobs in . This comprehensive analysis highlights market share and opportunities for professionals in Machine Learning roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Leap Tools is currently hiring and seeking a Machine Learning Engineer to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Machine Learning Engineer Jobs .
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Leap Tools adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Machine Learning Engineer Jobs United States varies, but the pay scale is rated "Standard" in . Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Machine Learning Engineer typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Machine Learning Engineer interview at Leap Tools, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Leap Tools's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
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