Machine Learning Engineer – Autonomous Perception & AI Systems

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