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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI / Machine Learning Researcher - **Company:** Visium SA - **Location:** Barcelona, Spain - **Salary:** €60,000.0 - €80,000.0 - **Contract:** Permanent contract - **Skills:** Microsoft Windows, Artificial Intelligence, Data Analysis, Android Software Development, Apple IOS, Apple Mac Systems, Artificial Neural Networks, Computer Vision, Graph Theory, Statistical Hypothesis Testing, Python (Programming Language), Machine Learning, NumPy, Raw Data, Tensorflow, Computational Geometry, SciPy, Spatial Data Infrastructures, Unstructured Data, Data Processing, Pytorch, Large Language Models, Deep Learning, Computer Equipment, Pandas, Scikit Learn, Information Technology, Feature Extraction - **Published:** August 30, 2026 - **Apply:** https://www.adzuna.es/contact-us.html ## About the Role + 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. Nice to have + Experience with 3D 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 Planner5D subscriptionsWe 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 ## Description 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. You will: + Conduct applied research in AI/ML to solve real-world problems related to home design, 2D/3D data, and visual understanding. + Work with raw and unstructured data (images, 3D 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 emerge. ## Related Videos - [Python Data Visualization @ Deepnote (w/ PyViz overview)](https://www.wearedevelopers.com/videos/113-python-data-visualization-deepnote-w-pyviz-overview) - [Vectorize all the things! 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