Machine Learning Engineer – Perception & Autonomous Systems
Summary
Develops and optimizes machine learning models for autonomous systems, focusing on perception, computer vision, and decision-making algorithms using real-world sensor data.
We are looking for a Machine Learning Engineer to join a team developing intelligent perception and decision-making solutions for autonomous systems.
In this role, you will work on machine learning algorithms used in computer vision, sensor data processing, motion prediction, and automated planning. You will have the opportunity to contribute to solutions operating on complex datasets and validated in real-world scenarios.
Your responsibilities
- Develop, train, and optimize machine learning models for perception and prediction.
- Work on computer vision tasks such as object detection, segmentation, tracking, and 3D scene understanding.
- Design solutions that combine data from multiple sensors and input modalities.
- Support the development of trajectory prediction and automated planning algorithms.
- Build and maintain data processing, model training, and evaluation pipelines.
- Analyze model accuracy, robustness, and performance using large-scale datasets.
- Validate algorithms against real-world use cases and operating conditions.
- Collaborate with software, systems, and product engineering teams.
- Contribute to the continuous improvement of development tools, models, and engineering processes.