Machine Learning Engineer – Autonomous Perception & AI Systems

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Description

We are looking for a highly skilled Machine Learning Engineer with a passion for building next-generation multi-modal perception and autonomy systems . You will join a team developing advanced AI capabilities for autonomous platforms, leveraging state-of-the-art technologies in computer vision, sensor fusion, robotics, and foundation models. The ideal candidate combines strong software engineering capabilities with hands-on machine learning expertise and has experience taking innovative R&D concepts from prototype to deployment in mission-critical environments. Your Responsibilities Design, train, and optimize advanced ML/DL solutions for: Multi-modal sensor fusion 3D object detection and classification Scene understanding and semantic segmentation Object tracking and trajectory prediction Behavior modeling and autonomous decision support Develop and maintain scalable data and training pipelines, including: Data curation and labeling Synthetic data generation Data augmentation and evaluation Continuous model monitoring and performance optimization Work with cutting-edge AI architectures, including: Vision-Language-Action (VLA) models Foundation models for robotics and autonomy Reinforcement Learning (RL) and imitation learning approaches Multi-modal transformer-based architectures Integrate and optimize models for deployment on embedded and edge computing platforms, utilizing technologies such as: NVIDIA GPU acceleration CUDA and TensorRT NVIDIA Jetson platforms High-performa

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