Applied Scientist II, Foundation Model, Industrial Robotics Group
Core
Develop and optimize foundation models (deep learning, LLMs) to enable robots to perceive, reason, and act in real-world environments for industrial automation.
Role type
Senior Applied Scientist (Foundation Models, Robotics)
Builds
Robotic foundation models, training infrastructure, evaluation benchmarks, and APIs for downstream robot deployment.
Domain
Industrial Robotics, Artificial Intelligence, Deep Learning
Deliverable
production ML models
Required skills
Deep learning, computer vision, multimodal models, imitation learning, reinforcement learning, human-robot interaction, experiment design, reproducible baselines, C/C++, Python, Java, Perl
Preferred skills
Unix/Linux, professional software development
Technologies
Deep learning frameworks, robotics simulation environments, training infrastructure
Responsibilities
Fine-tune and optimize state-of-the-art models for specific robot tasks; execute rigorous experimentation bridging simulation and reality; build capability evaluations and benchmarks; manage data collection, curation, and training workflows; develop tools for model evaluation and testing; document research and methodologies.
Seniority
Senior, hands-on IC