ML/AI Engineer
THE COMPANY
LUDO ROBOTICS is dedicated to building general-purpose robotic intelligence systems that are robust, adaptive, and capable of handling real-world scenarios. We believe that data-driven machine learning at massive scale is the key to unlocking these capabilities and enabling the widespread deployment of robots across society.
We are a new startup headquartered in Bay Area, California, with an office in Seoul, Korea. Our team spans a wide range of backgrounds and experience, from new graduates to seasoned domain experts. What matters most to us is ownership, speed, and intellectual curiosity - people who take responsibility, move fast, and enjoy thinking deeply about hard problems.
We are supported by a highly advanced AI Center within KRAFTON, a leading global video game company best known for the genre-defining worldwide success PUBG: Battlegrounds. KRAFTON has extensive experience building and operating large-scale, data-rich products, and we have secured investment from them. This gives us strong long-term backing, deep technical partnership opportunities, and access to world-class infrastructure and talent networks as we push robotic intelligence forward.
We are looking for passionate builders who want to explore uncharted territory, take on difficult problems, and ship ambitious, industry-shaping work. You will collaborate across diverse teams as we bring our technology from research into real-world deployment.
THE OPPORTUNITY
The ML & AI Researcher role at Ludo Robotics is a full-time position for exceptional researchers who want to go beyond the boundaries of traditional academic research and translate frontier ideas into physical systems deployed in the real world.
You will pursue independent and collaborative research in Robotics, AI and Human-Robot Interaction (HRI)—with full access to our robot platforms, datasets, compute infrastructure, and close collaboration with our core research team. Researchers are expected to drive meaningful research contributions that advance the state of the art and feed directly into Ludo's technical roadmap.
We welcome applicants whose work spans AI / ML, human-robot interaction, perception, manipulation, navigation, or any adjacent area where ambitious research can move the needle.
We are currently placing particular emphasis on two profiles: researchers in human-robot interaction—how people and robots perceive, understand, and communicate with one another through natural, multimodal cues, including speech and audio—and researchers in robot action—the learned models and control policies that let robots manipulate objects and act dexterously in unstructured, real-world environments. Candidates with a strong track record in either area are especially encouraged to apply.
RESPONSIBILITIES
- Design and lead an independent research agenda within the scope of the role, in collaboration with Ludo's research team.
- Conduct experiments, user studies, and field deployments to evaluate hypotheses on real hardware.
- Develop theoretical frameworks and translate them into prototype robot behaviors that bridge research with real-world system implementation.
- Synthesize findings from academic literature across HRI, HCI, social robotics, cognitive science, robot learning, and AI to inform research direction.
- Integrate developed models and algorithms into robot control pipelines and evaluate their real-world performance.
- Collaborate cross-functionally with engineers, designers, and product teams to translate research insights into deployable systems.
- Contribute to establishing metrics and evaluation frameworks for robot behavior and system performance.
- Actively participate in team seminars, design reviews, and knowledge-sharing sessions.
QUALIFICATIONS
- Advanced degree (M.S. or Ph.D.) in Computer Science, Electrical Engineering, or related field with focus on Deep Learning or Machine Learning — or equivalent industry experience.
- Solid understanding of machine learning fundamentals and modern deep learning techniques, with hands-on experience with ML frameworks.