Computer Vision AI & ML Engineer

Highlights

• Build general-purpose robotic intelligence that adapts to unseen scenarios.
• Design and deploy perception systems for real-world robotics and automation.
• Translate cutting-edge perception research into practical real-time prototypes.

Ideal candidate

Passionate builder eager to explore uncharted robotics challenges and turn research into real-world systems. You thrive across research and engineering and care about robust, reliable perception for deployment.

Requirements

• Strong experience with deep learning frameworks (PyTorch, TensorFlow, or JAX)
• Background in computer vision tasks such as detection, depth estimation, segmentation, tracking, or 3D scene understanding
• Proficiency in Python; familiarity with C++ is a plus
• Experience building training pipelines, evaluation frameworks, and ML deployment workflows
• Knowledge of 3D geometry, sensor processing, or multi-sensor fusion (RGB-D, LiDAR, stereo)
• Experience with data annotation tools, dataset management, and augmentation techniques
• Familiarity with robotics, simulation environments (Isaac Sim, Gazebo, Blender), or real-time systems
• Understanding of uncertainty modeling, reliability engineering, or ML monitoring/MLOps practices