【R&D-023】MLOps Engineer

The AI Robot Association (AIRoA) is launching a groundbreaking initiative: collecting one million hours of humanoid robot operation data and leveraging it to train the world’s most powerful Vision-Language-Action (VLA) models. This position will play a crucial role in determining the success of the project.

Requirements

• Design, implement, and maintain large-scale ML pipelines and optimize model performance for training on massive robot datasets
• Design, deploy, and maintain distributed training clusters to reduce model development cycles
• Collaborate closely with VLA researchers to capture evolving ML infrastructure, data pre-processing, training, monitoring, evaluation, and deployment requirements
• Optimize ML infrastructure and pipeline for cost, performance, and reliability
• Design, develop, and maintain MLOps tools and platforms to ensure VLA researchers can efficiently visualize and analyze the performance

Benefits

• Opportunity to work on a groundbreaking initiative
• Collaborate with leading experts across academia and industry
• Publish results that will shape the next decade of robotics
• Contribute to an initiative that will redefine the future of embodied AI