Computer Vision AI & ML Engineer

Highlights

• Design and deploy advanced perception systems for real-world robotics.
• Build general-purpose robotic intelligence that adapts to unseen scenarios.
• Turn proof-of-concept perception research into robust real-time prototypes.

Ideal candidate

Passionate builder eager to explore uncharted robotics challenges, blending applied research curiosity with hands-on engineering ownership to deliver robust vision that works in the real world.

Requirements

• Strong experience with deep learning frameworks (PyTorch, TensorFlow, or JAX).
• Background in computer vision tasks such as detection, 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.