What are the responsibilities and job description for the Machine Learning Intern Summer 2025 position at Robust.ai?
About this role:
Any sufficiently advanced technology is indistinguishable from magic. We make cutting-edge solutions that feel as natural as breathing.
Pushing the boundaries of what’s possible, our team of industry veterans is raising the bar for autonomous and collaborative robots. We are developing and deploying, at scale, iconic people-centered robots. We know we have succeeded when customers ask why other robotic solutions don’t feel like ours — effortless, intuitive, and delightful.
We're seeking a highly motivated Machine Learning Intern with strong software engineering skills to join our team of world-class researchers and engineers. You will be working on cutting-edge robotics and AI to develop innovative solutions for robot perception and build next-generation robotics vision systems. The ideal candidate will have a background in Machine Learning and Computer Vision and experience in Python and/or C . Experience in Robotics is preferred but not required.
\n- Designing, developing, and deploying machine learning and computer vision components for robotics on embedded hardware (e.g. Nvidia Jetson Orin)
- Experimenting with and preparing state-of-the-art models for deployment
- Creating machine learning training and evaluation pipelines
- Writing clean, efficient code and tests
- Writing clear documentation for your API
- Currently enrolled in an MSc or PhD program in ML or CS or something comparable with a focus on Machine Learning, Computer Vision, or Human-Robot Interaction
- Experience with deep learning algorithms and pipelines
- Experience with Python
- Excellent software engineering and algorithm skills
- Experience optimizing computer vision or machine learning systems for embedded hardware (e.g., NVIDIA Jetson, Qualcomm RB5, Intel Myriad)
- Experience with 2D and 3D vision algorithms (e.g., stereo vision, optical flow, auto-exposure, detection, tracking, pose estimation)
- Experience with specialized libraries, languages, and frameworks (e.g., PyTorch, TensorFlow, OpenCV, PCL, CUDA, TensorRT)
- Experience with C
Robust AI fosters a culture of belonging and a shared commitment to equality and equity. Having a diverse set of perspectives is key to ensuring AI and robotics serve the needs of all.
