Job Description
Ludo Robotics is a startup focused on developing general-purpose robotic intelligence systems. As an ML/AI Engineer, you will create scalable robotics systems to enable reliable robot operations in real-world environments, collaborating with diverse teams to turn research into practical applications.
Responsibilities
- 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
Skills
- 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
Benefits
- Equity compensation
- A comprehensive benefits package
Company Overview
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