Role OverviewSkild AI is building the world’s first general purpose robotic intelligence. The team values demonstrated ability and attitude over credentials. This role combines applied research with hands-on engineering and offers real influence over architecture and roadmap decisions.
What You Will Do
Develop and optimize deep learning models for depth estimation, object detection, segmentation, tracking, and 3D scene understanding using multi-modal sensor data. Build scalable pipelines for data processing, training, evaluation, and deployment into real-world and real-time systems.
Why It Might Be a Fit
You should have strong experience with deep learning frameworks, background in computer vision tasks, and proficiency in Python. Experience building training pipelines, evaluation frameworks, and ML deployment workflows is also required.
Requirements
- Strong experience with deep learning frameworks such as 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 including RGB-D, LiDAR, or stereo
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