Randstad Singapore Hiring! Full Time Robotics Engineer | AI | Innovation in - Ricebowl

about the company

Our client is an innovative technology lab operating at the cutting edge of advanced automation and applied artificial intelligence. They are developing next-generation intelligent systems designed to transform physical labor on a massive scale. This is a highly dynamic environment where rapid iteration is prioritized, allowing engineers to see their software directly drive real-world physical capabilities within days.

about the role

You will serve as a critical engineer at the intersection of machine learning and physical execution. Your core focus will be translating complex AI models into tangible, real-world actions.

• Design and train sophisticated machine learning policies for dynamic, real-world control systems.
• Conduct hands-on experiments to systematically debug and close the gap between simulated environments and physical reality.
• Build and maintain high-speed data pipelines and simulation environments that enable rapid iteration.
• Analyze system performance during deployments to drive continuous improvements back into the training loop.
• Collaborate closely with cross-functional engineering teams to integrate software with complex physical constraints.

skills and experience

• Proven experience in applied machine learning, specifically focusing on reinforcement or imitation learning.
• Demonstrated ability to deploy models onto actual physical systems, moving beyond theoretical simulations.
• Advanced proficiency in Python and familiarity with modern ML or physics-based frameworks.
• A highly empirical, debugging-oriented mindset with a focus on practical results that work in the real world.
• Bonus: A background in control theory, dynamics, or experience with domain adaptation and multi-axis physical systems.

To apply online please use the 'apply' function, alternatively you may contact Evangeline.

(EA: 94C3609/ R24124002 )