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Machine Learning Engineer – Autonomous Perception & AI Systems

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SeniorOn-site·Stockholm Metropolitan AreaFull-time

#451042·Dodano 19 dni temu·0

Źródło: justjoin.it

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Tech Stack / Keywords

SecuritytrainingC++PythonArtificial Intelligence (AI)Performance optimizationOpen sourceResearch & Development (R&D)Machine Learning (ML)Foundation (front-end framework)

Podsumowanie oferty

The role involves designing and optimizing advanced machine learning and deep learning solutions for multi-modal sensor fusion, 3D object detection, scene understanding, and autonomous decision support. The engineer will develop scalable data and training pipelines and work with cutting-edge AI architectures including foundation models and reinforcement learning. The position requires collaborating with multidisciplinary teams to develop reliable autonomous systems and integrating models for deployment on embedded platforms.

Wymagania

3–5+ years of experience in Machine Learning, Robotics, Computer Vision, Artificial Intelligence, Applied Mathematics, Computer Science, or related fields.
Strong practical experience with PyTorch and/or TensorFlow.
Experience in end-to-end model development, training, evaluation, optimization, and productionization.
Expertise in areas such as computer vision, autonomous systems, robotics, multi-sensor perception, reinforcement learning, Vision-Language Models (VLM), and Vision-Language-Action (VLA) systems.
Familiarity with AI and robotics ecosystems including 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 and C++.
Ability to obtain and maintain a security clearance.

Nice to have:

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.

Obowiązki

Design, train, and optimize ML/DL solutions for multi-modal sensor fusion, 3D object detection, classification, scene understanding, semantic segmentation, object tracking, trajectory prediction, behavior modeling, and autonomous decision support.
Develop and maintain scalable data and training pipelines including data curation, labeling, synthetic data generation, augmentation, evaluation, model monitoring, and performance optimization.
Work with AI architectures such as Vision-Language-Action (VLA) models, foundation models for robotics and autonomy, reinforcement learning, imitation learning, and multi-modal transformer-based architectures.
Integrate and optimize models for deployment on embedded and edge platforms including NVIDIA GPU acceleration, CUDA, TensorRT, and NVIDIA Jetson platforms.
Ensure accurate sensor calibration, alignment, and synchronization across sensor suites mitigating drift and environmental disturbances.
Collaborate with Systems Engineering, Planning, Controls, Robotics, and Software teams to develop safe and deployable autonomous systems.
Investigate and evaluate emerging technologies including Alpamayo-based robotics frameworks, next-generation autonomy stacks, embodied AI, and autonomous agent architectures.

Inne informacje

Ability to obtain and maintain a security clearance.

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