Vacant job

Avaron AB is a growing consultancy firm focused on technology, finance, and operational support. We match your expertise with the most interesting assignments in the market and offer a platform where your development is at the center.

We are looking for a senior Machine Learning / Computer Vision Engineer for an assignment with a globally leading technology company that develops advanced platforms for ADAS and autonomous driving. You will be part of a team that builds camera-based perception systems where camera calibration is a central prerequisite for high precision, robustness, and safety in vehicle-related functions.

In this role, you will develop modern machine learning-based calibration algorithms and associated frameworks for both development and product platforms. You will collaborate closely with specialists in several technical areas and contribute to features that are crucial for the next generation of autonomous solutions.

• Develop state-of-the-art ML-based algorithms for camera calibration
• Ensure correct positioning of camera-based functions in real-world coordinates
• Contribute to the creation of accurate ground truth for annotation, development, and validation
• Enable sensor fusion between camera, lidar, radar, and other sensors
• Ensure consistency in multi-camera systems with 360° environmental perception
• Develop online (dynamic) and offline calibration tools, including monitoring and validation
• Work with ML in conjunction with system availability and hardware constraints
• Collaborate with teams developing core ADAS and AD functions, such as object detection, lane and road detection, and traffic sign and traffic light recognition

• 4–8 years of relevant experience in Machine Learning and/or Computer Vision
• Strong theoretical and practical competence in machine learning
• Experience in algorithm development within geometric vision, mathematics, or robotics
• Good experience in software development, preferably in C, C++, and Python
• Experience in systems engineering, preferably for embedded systems
• Master's degree in mathematics, image or signal processing, computer science, or equivalent
• Very good ability to communicate in English, both spoken and written

• Experience deploying machine learning models on embedded platforms
• Advanced knowledge in computer vision geometry, such as projective geometry, camera models, epipolar geometry, and homographies
• Experience with optimization methods

Our positions may be filled before the application deadline, as we process applications continuously. Therefore, we recommend that you apply as soon as possible.