Robotics Engineer / Applied Research Scientist — Embodied AI

Artly AI is building intelligent robots that learn, adapt, and perform complex real-world tasks. We’re looking for a Robotics Engineer / Applied Research Scientist to develop robot control systems, data pipelines, and state-of-the-art action policies—and bring them to physical robots.

Responsibilities

• Develop robot control drivers, APIs, and low-level infrastructure for robotic arms, dexterous hands, sensors, and cameras.

• Build scalable data acquisition and demonstration pipelines spanning teleoperation, multimodal sensing, data processing, and dataset management.

• Research and develop learned robot policies, including vision-language-action (VLA) models, diffusion policies, and world action models (WAMs); apply imitation learning and reinforcement learning to policy training.

• Train, evaluate, and deploy learned policies for complex manipulation and real-world tasks.

• Translate robotics and AI research into reliable systems for commercial environments.

Qualifications

• Strong background in robotics, machine learning, computer vision, or control.

• Experience with Python/C++, ROS/ROS2, robot control, or manipulation systems.

• Hands-on experience with PyTorch or comparable deep-learning frameworks.

• Familiarity with imitation learning, VLA models, diffusion models, reinforcement learning, or robotics foundation models is highly desirable.

• MS/PhD in Robotics, Computer Science, Electrical Engineering, AI, or a related field preferred, or equivalent practical experience.