Hiring: Machine Learning / Computer Vision Engineer Company: Eka Robotics Location: Greater Boston Job Posted Time: 2026-09-11 13:33:37 Target Skills & Keywords : Computer Vision, Data Pipeline, Deep Learning, Fine-tuning, Machine Learning, PyTorch, Python, R, Reinforcement Learning About the job Experience: •3+ years of experience working on a computer vision product. Required Skills: •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. •Partner cross-functionally 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. •Demonstrated capacity to move fluidly between research code and production-quality systems. Qualifications: •Ph.D. in computer vision or 3+ years of experience working on a computer vision product. •Strong background in machine learning for computer vision, especially deep learning-based visual perception. •Practical experience with visual representation learning, object detection, segmentation, pose estimation, depth estimation, tracking, or 3D perception. •Operational familiarity with robot learning methods such as reinforcement learning, behavior cloning, diffusion policies, offline RL, or learning from demonstrations. •First-author publications in top computer vision, robotics, or machine learning venues such as CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, RSS, CoRL, ICRA, or IROS. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!