At Orca AI, we're on a mission to shape the future of the shipping industry through cutting-edge autonomous ship technology. Our solutions empower teams both on the ship and ashore to make informed decisions that dramatically enhance safety, reduce fuel consumption, improve navigation, and minimize environmental impact.

We integrate state-of-the-art technologies like computer vision and augmented reality, ensuring that we create solutions that improve operational efficiency and promote safer, greener shipping practices. At Orca AI, we are committed to making a positive difference for both the environment and the people who rely on safe, efficient shipping practices. Join us as we work towards a safer, greener future for the maritime industry.

Our AI-driven technology operates across a global fleet, analyzing raw camera data to perform object detection, depth estimation, tracking, and collision prediction—making the seas safer, smarter, and more efficient.

If you're passionate about deep learning, computer vision, and real-world AI applications, and want to be part of a dynamic, innovative team, this is your opportunity to make a real impact!

What will you do?

• Experience with Vision Transformers, Graph Neural Networks, or Autoencoders.
• Knowledge of Projective Geometry, SLAM, or camera calibration techniques.
• Hands-on experience with NVIDIA Jetson or edge computing platforms.
• Familiarity with maritime technology or autonomous systems.
  
  

• B.Sc. in Computer Science, Electrical Engineering, or a related field (M.Sc. or Ph.D. is a plus).
• 5+ years of hands-on experience in developing and deploying deep learning algorithms.
• Strong foundation in computer vision techniques and frameworks (PyTorch, TensorFlow, OpenCV).
• Experience working with real-world datasets and optimizing models for edge computing.
• Comfortable in a fast-paced, innovative environment—independent, proactive, and solution-oriented.
• Excellent team player with strong English communication skills (verbal & written).
  
  

• Experience with Vision Transformers, Graph Neural Networks, or Autoencoders.
• Knowledge of Projective Geometry, SLAM, or camera calibration techniques.
• Hands-on experience with NVIDIA Jetson or edge computing platforms.
• Familiarity with maritime technology or autonomous systems.