Machine Learning Engineer – Autonomous Perception & AI Systems

Required skills: Security, training, C++, Python, Artificial Intelligence (AI), Performance optimization, Open source, Research & Development (R&D), Machine Learning (ML), Foundation (front-end framework) 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-performance inference frameworks for real-time execution Ensure accurate sensor calibration, alignment, and synchronization across complex sensor suites, mitigating drift and environmental disturbances encountered in operational environments. Collaborate closely with Systems Engineering, Planning, Controls, Robotics, and Software teams to develop safe, reliable, and deployable autonomous systems. Investigate and evaluate emerging technologies such as Alpamayo-based robotics frameworks, next-generation autonomy stacks, embodied AI, and autonomous agent architectures. We Are Looking For 3–5+ years of experience in Machine Learning, Robotics, Computer Vision, Artificial Intelligence, Applied Mathematics, Computer Science, or a related field. Strong practical experience with: PyTorch and/or TensorFlow End-to-end model development and deployment Training, evaluation, optimization, and productionization of ML systems Experience in one or several of the following areas: Computer vision Autonomous systems Robotics Multi-sensor perception Reinforcement Learning (RL) Vision-Language Models (VLM) Vision-Language-Action (VLA) systems Familiarity with modern AI and robotics ecosystems such as: NVIDIA Isaac Sim / Isaac Lab ROS2 Alpamayo CUDA/TensorRT Synthetic data and simulation environments Strong background in: Linear algebra Probability and estimation theory Optimization Algorithm design Data structures and software architecture Experience developing in: Python C/C++ Ability to obtain and maintain a security clearance. Personal Qualities We believe you are a curious and hands-on engineer who enjoys solving difficult technical challenges and continuously exploring new technologies. A strong self-driven mindset, demonstrated through personal projects within AI, robotics, autonomous systems, or software development, is highly valued. Bonus Qualifications Experience developing embodied AI or autonomous robotics solutions. Experience with large-scale foundation models and generative AI. Knowledge of imitation learning, world models, or agentic AI systems. Experience deploying ML workloads on NVIDIA edge hardware. Contributions to open-source robotics or machine learning projects. Location: Stockholm or Gothenburg