About the job
Field AI is revolutionizing the interaction between robots and the physical world. Our mission is to create AI systems that are risk-aware, dependable, and ready for real-world applications, tackling the intricate challenges of robotics to unlock the true potential of embodied intelligence. By moving beyond standard data-driven methods and purely transformer-based models, we are pioneering innovative solutions that are already deployed globally, yielding tangible results and continually refining our models through actual field applications.
We are on the lookout for a talented and driven MLOps Engineer to bolster our engineering team. In this pivotal role, you will be responsible for designing and maintaining the infrastructure and tools essential for the comprehensive lifecycle of machine learning systems utilized in robotics. Collaborating closely with machine learning engineers, robotics experts, and infrastructure teams, you will ensure the reliable training, evaluation, deployment, and monitoring of ML models. This position presents a thrilling opportunity to operationalize machine learning within dynamic and rapidly evolving robotic systems.
