ML/AI Engineer at Ludo Robotics in San Francisco, CA

Summary: 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 Required Qualifications: - 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 Required Skills: Deep Learning, Machine Learning, Python Important Skills: PyTorch, TensorFlow, C++, Robotics Concepts Benefits: Equity compensation, A comprehensive benefits package