
Job description
As an AI Research Engineer (Robot Learning), you will drive frontier AI model development and data flywheel project management for dexterous robotic manipulation. You will shape all aspects of the development of end-to-end AI models for robotics, from large scale multi-task pre-training to specialized fine-tuning and post-training.
Drive research and implementation for large scale, multi-task foundation AI models for robotics, quickly iterate over architecture design and parameters. Oversee model specialization for end use cases with fine-tuning and other post-training techniques. Drive the implementation and management of the data flywheel process, from data specification, to data collection, model training and real world evals.
You will work closely with the Robotics and Hardware teams to ensure efficient and stable deployment on real world robots. You will have the opportunity to shape a robotics & AI company from the ground up. In flat hierarchies you will work directly with the founders and some of the best talents in the robotics space.
Keep exploring
Sign in to see similar jobs
Create a free account to discover roles related to this posting.
Company

Manufacturing • Transportation & Logistics
Mimic develops physical AI solutions that automate repetitive tasks across manufacturing and logistics. Their robots learn new skills directly from operators, enabling rapid, intuitive training without extensive programming. Once trained, the robots operate autonomously in any environment, from factory floors to warehouses, delivering consistent performance and reducing labor costs. Leveraging advanced machine learning and robotics, Mimic differentiates itself by combining ease of use with robust adaptability, allowing businesses to scale operations quickly while maintaining high safety and efficiency standards.