AI / Machine Learning Researcher
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About the role
Planner 5D is a global hub for home design, uniting over 100+ million users in 230 territories around our planet (yes, we have 2 users connecting from Antarctica each month!). Our platform simplifies the home renovation process from concept to execution, and this process has never been more straightforward with our cutting-edge software. You don't need to be a professional designer to enhance your home or workspace. We are dedicated to streamlining the design experience, making the customization of dream homes accessible to everyone. Our cross-platform presence spans Web, iOS, Android, Windows, and MacOS, ensuring seamless synchronization for our users. Planner 5D is more than just software; it's a vibrant community of enthusiastic and product-oriented professionals. From diverse backgrounds, our team collaborates across time zones, fueled by a shared passion to revolutionize the home design market. We are constantly looking for like-minded talent eager to take ownership and drive innovation within our expanding suite of tools. Join us in shaping the future of home design. We are searching for an AI / Machine Learning Researcher to join our AI team and focus on applied research for real-world product challenges. You will work with raw data, explore new approaches, formulate and test hypotheses, and build prototypes and MVP solutions that can later become production features within the Planner 5D platform.
Requirements
- 4+ years of experience in AI/ML research or applied machine learning.
- Strong background in mathematics and computer science, including statistics, optimization, linear algebra, and algorithms.
- Solid understanding of machine learning and deep learning methods.
- Experience working with real-world datasets, including data exploration, cleaning, feature extraction, and experimental validation.
- Proficiency in Python and common scientific/ML libraries (NumPy, SciPy, Pandas, etc.).
- Experience with deep learning frameworks such as TensorFlow or PyTorch.
- Familiarity with computer vision or multimodal AI (images, video, 3D data such as point clouds and meshes).
- Ability to independently formulate research hypotheses, design experiments, and evaluate results.
- Strong analytical thinking and ability to solve complex problems with limited prior solutions.
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