AI / Machine Learning Researcher joining Planner 5D's AI team for applied research in home design. Collaborating on real-world product challenges with deep learning methods and data analysis.
Responsibilities
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.
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.
Benefits
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
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