Building general purpose robotic intelligence. Backed by General Catalyst, Lightspeed and Sequoia.
About the role
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.
What they're looking for
- 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
More about this role
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.
We are seeking a Computer Vision AI & ML Engineer to design, build, and deploy advanced perception systems for real-world robotics and automation. You will work across the full machine learning lifecycle—model development, data strategy, evaluation, and production integration—to deliver robust, high-performance vision capabilities. This role combines applied research with hands-on engineering and offers the opportunity to influence both architecture and roadmap decisions.
- Develop and optimize deep learning models for...
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