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Junior AI and Machine Learning Engineer – Vision Localization
Not specifiedFull-timeAI & Machine LearningAutomotiveArtificial Intelligence
Develop computer vision and deep learning algorithms that localize autonomous vehicles on high-definition 3D maps with centimeter-level precision. The role combines mathematical optimization, 3D geometry, scene understanding, and large-scale driving data analysis.
Responsibilities
- Develop localization algorithms for autonomous driving using multi-camera surround-vision systems.
- Design and implement models based on Transformers, Graph Neural Networks, and Convolutional Neural Networks.
- Solve problems involving 3D geometry, scene understanding, object matching, and spatial reasoning.
- Combine learning-based methods with classical optimization and geometric algorithms.
- Own development from prototyping through production deployment.
- Analyze real-world driving data and improve robustness across environmental and visibility conditions.
- Develop high-precision localization solutions at production scale.
Requirements
- At least 2 years of practical experience developing computer vision or machine learning solutions.
- Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
- Bachelor’s or master’s degree in computer science, electrical engineering, or a related field, with strong academic performance.
- Strong foundations in algorithms, data structures, computer vision, and deep learning.
- Strong analytical, ownership, and collaboration skills.