ML-Deep Learning Engineer

As a Deep Learning Engineer specialized in 3D Computer Vision and Reinforcement Learning, you will work on developing, implementing, and optimizing state-of-the-art models that tackle complex challenges in spatial AI and geometric processing. You will be part of a multidisciplinary team pushing the frontiers of 3D representation, algorithmic generation, and autonomous agents, contributing to the research, development, and deployment of large-scale AI systems capable of interpreting, manipulating, and generating complex 3D structures.

Degree in Computer Science, Applied Mathematics, Artificial Intelligence, or a related discipline. Specialized coursework or research in 3D deep learning, reinforcement learning, and advanced algorithmic design. Strong mathematical foundation

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Expertise in deep learning and machine learning algorithms, particularly in the context of 3D vision, reinforcement learning, and generative geometric models. Strong proficiency in programming languages like Python and C++. Familiarity with ML frameworks (PyTorch, TensorFlow) and specialized 3D/geometric processing libraries (e.g., PyTorch3D, Open3D, Trimesh, or similar). Exceptional problem-solving skills with a focus on building algorithmic solutions from the ground up. Familiarity with cloud-based solutions and tools (AWS, GCP, or Azure) for scalable model training and distributed computin

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Domain Knowle

• dgeProven experience developing state-of-the-art Deep Learning models, specifically focusing on Computer Vision, 3D CNNs, and Geometric Deep Learni
• ng.Strong expertise in Deep Reinforcement Learning (DRL) and developing autonomous agents for complex decision-making tasks in spatial, geometric, or simulated environmen
• ts.Hands-on experience working extensively with 3D data representations, including 3D meshes, point clouds, voxels, and CAD data structures (e.g., B-rep, STEP, IGE
• S).Deep knowledge of core mathematical algorithms, computational geometry, linear algebra, and numerical methods, with a proven ability to implement complex algorithms from scrat
• ch.Practical knowledge of deploying custom AI models and algorithms at scale in production environmen