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Alpine Eagle GmbH
Actively hiring
Computer Vision Engineer for Drone Systems (m/w/d)
- Workplace
- On-site
- Commitment
- Full-time
- Posted
Location
Karlsruhe, GermanyMünchen, Germany
As a Computer Vision Engineer, you will be instrumental in advancing our drone technology. You will develop and optimize algorithms, train machine learning models, and collaborate with a multidisciplinary team to deliver next-generation drone solutions. Your work will focus on drone-based applications such as object detection, collision avoidance, and real-time tracking, and you will partner with hardware and ML engineers to integrate models into drone systems.
Responsibilities
- Design and Implement Algorithms: Develop computer vision algorithms for drone-based applications such as object detection, collision avoidance, and real-time tracking.
- Data Collection and Training Pipelines: Create streamlined pipelines for data collection, training, and validation of machine learning models.
- Collaborate with ML Engineers: Work closely with machine learning engineers to refine and optimize models specifically for aerial scenarios.
- Integration with Hardware: Partner with the hardware team to ensure seamless integration of computer vision models with drone systems.
- Stay Updated: Keep abreast of the latest advancements in computer vision technologies and research, with a special focus on aerial applications.
- Code Reviews and Documentation: Participate in code reviews, maintain thorough documentation, and contribute to team discussions.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field. PhD is a plus.
- Proven experience with deep learning frameworks like TensorFlow, PyTorch, or equivalent. Experience with CNN, Object Detectors and Tracking.
- Strong proficiency in Python and C++.
- Experience with OpenCV or other computer vision libraries.
- Familiarity with cloud platforms and deploying CV models in real-world aerial scenarios.
- A hands-on attitude and strong sense of ownership.
- You approach complex problems systematically and document your results.
- You are a team player. You win when the team wins.