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# ML/AI Engineer

- **Company:** LUDO ROBOTO LLC
- **Location:** San Francisco, CA, United States
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Big Data, C++ (Programming Language), Computer Programming, Python (Programming Language), Machine Learning, Tensorflow, Pytorch, Deep Learning, Information Technology, Machine Learning Operations
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25303_3ff39bb352d5851873d38c2aacc22ea5

## About the Role

* Degree in Computer Science, Electrical Engineering, or related field with focus on Deep Learning or Machine Learning.
 * Solid understanding of machine learning fundamentals and modern deep learning techniques, with hands-on experience with ML frameworks such as PyTorch or TensorFlow.
 * Strong programming skills, primarily in Python, with experience or willingness to work in C++-based robotics environments.
 * Comfort working on open-ended, ambiguous problems where requirements and solutions evolve and curiosity and readiness to tackle new technical challenges that may not have established best practices.
 * Experience working with real-world data, including noise, edge cases, and imperfect labels.
 * Familiarity with robotics concepts such as perception, control, state estimation, or simulation a plus.
 * Strong problem-solving skills and the ability to reason about complex systems.
 * Ability to collaborate effectively in fast-paced, research-driven environments.
 * Clear communication skills and a strong sense of ownership over outcomes.

## Description

As an ML / AI Engineer at Ludo Robotics, you will develop scalable robotics systems that enable robots to operate reliably in real-world environments. You will work with leading researchers and engineers on state-of-the-art methodologies to design and deploy algorithms and systems that enable robots to interact intelligently and adapt to diverse and complex environments. The ideal candidate has a strong technical background and experience in building practical solutions and driving real impact., * Lead and contribute to cutting-edge research and engineering problems at the frontier of robotic AI, including approaches and systems that have not been built before.

 * Explore and develop new learning methods, architectures, and training strategies for robots facing unseen scenarios.
 * Turn research ideas into deployed robot behavior, bridging theory and real-world performance.
 * Collaborate with cross-functional teams spanning robotics software, hardware, data, and infrastructure.
 * Influence technical direction and system design in a fast-moving startup environment.
 * Access large-scale data, compute, and modern ML infrastructure to train and evaluate advanced models.
 * Grow through ownership of open-ended problems where solutions are not predefined.