Skild AI
ComputerVisionAI&MLEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Computer Vision AI & ML Engineer at Skild AI. Skills: Computer Vision, AI, ML, Deep Learning. Translate research insights. Develop practical prototypes”
What You'll Achieve.
Improve end-to-end performance
What They're Looking For.
Must Have
experience with deep learning frameworks, Background in computer vision tasks, Proficiency in C++, Experience building training pipelines, Experience building evaluation frameworks, Experience building ML deployment workflows, Knowledge of 3D geometry, Knowledge of sensor processing, Knowledge of multi-sensor fusion, Experience with data annotation tools, Experience with dataset management, Experience with augmentation techniques, Familiarity with robotics, Familiarity with simulation environments, Familiarity with real-time systems, Understanding of uncertainty modeling, Understanding of reliability engineering, Understanding of ML monitoring, Understanding of MLOps practices
Nice to Have
PyTorch experience, TensorFlow experience, JAX experience, detection experience, depth estimation experience, segmentation experience, tracking experience, 3D scene understanding experience, Isaac Sim familiarity, Gazebo familiarity, Blender familiarity
What You'll Do.
Translate research insights
Develop practical prototypes
Collaborate with robotics teams
Collaborate with systems teams
Collaborate with simulation teams
Integrate perception models
Improve end-to-end performance
How You'll Work.
Team & Collaboration
Robotics teams; Systems teams; Simulation teams
Full Job Description
Company Overview At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects. Position Overview We are seeking a Computer Vision AI translate research insights into practical prototypes. Collaborate with robotics, systems, and simulation teams to integrate perception models into production pipelines and improve end-to-end performance. Preferred Qualifications 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.
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