Machine Learning / Computer Vision Engineer

Eka Robotics is on a mission to build intelligence for the physical world through advanced robotics. They are seeking a Machine Learning / Computer Vision Engineer to develop and enhance computer vision and visual representation learning pipelines for robotic manipulation.

Responsibilities:

• Build computer vision and visual representation learning pipelines for robotic manipulation, including RGB, RGB-D, depth, segmentation, pose, keypoint, and object-centric representations
• Develop visual models that support reinforcement learning and imitation learning policies, including end-to-end visuomotor policies that map visual observations to robot actions
• Improve our data pipeline for vision-based manipulation policies through domain randomization, photorealistic rendering, synthetic data generation, sensor noise modeling, and real-world fine-tuning
• Design and train perception models that are robust to lighting changes, camera viewpoint shifts, texture variation, clutter, occlusion, object instance variation, and imperfect calibration
• Evaluate learned visual representations and policies on real robotic manipulation tasks, identify failure modes, and iterate on models, data, and training procedures
• Collaborate with robotics, robot learning, and simulation engineers to define the perception strategy for robotic manipulation
• Set up, calibrate, and evaluate camera and depth sensing systems when needed, with an emphasis on how sensor choices affect learned policies and real-world robustness