Ai / Machine Learning Researcher
12 hours ago
Valencia
About us Planner 5 D 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, i OS, Android, Windows, and Mac OS, ensuring seamless synchronization for our users. Planner 5 D 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 5 D platform. You will Conduct applied research in AI/ML to solve real-world problems related to home design, 2 D/3 D data, and visual understanding Work with raw and unstructured data (images, 3 D point clouds, text, video) to identify useful signals and formulate research directions Generate and test hypotheses through experiments, modeling, and data analysis Design and implement prototypes and MVP solutions, validating ideas before production implementation Train, evaluate, and iterate on machine learning and deep learning models Contribute to the development of AI-driven features, including computer vision systems and AI agents Collaborate with engineers to translate research prototypes into production-ready solutions Provide algorithm-level support for deployed models, improving and adapting them as new data or requirements emerged 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 (Num Py, Sci Py, Pandas, etc.) Experience with deep learning frameworks such as Tensor Flow or Py Torch Familiarity with computer vision or multimodal AI (images, video, 3 D 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 Nice to have Experience with 3 D data processing (point clouds, meshes, spatial data) Experience building or experimenting with AI agents or LLM-based systems Experience training and fine-tuning neural networks Interest in geometry, graph theory, or computational geometry What we offer Great work environment that balances freedom and responsibility Our team is made up of friendly and passionate enthusiasts who are eager to help and share their knowledge We believe in work-life balance, so you'll receive around 30+ days of paid holidays per year Company computer equipment by request Education courses for our team members, and we're willing to allocate funds toward your training expenses English classes on our corporate platform Offline company events in Lithuania and online team-building Unlimited free Planner5 D subscriptions We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. #J-18808-Ljbffr
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