AI / Machine Learning Researcher
Team: AI
Location: Tbilisi, Belgrade, Berlin, Budapest, Madrid, Riga, Tallinn, Valencia, Vilnius, Yerevan
Commitment: Contractor
Workplace Type: remote
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.
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.
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.
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