Robotics AI Research Engineer — Multimodal, RL & Real-World

Flexion Robotics; Altburg; On-site; CHF 150,000 - 210,000; Full time

Benefits offered by this job

Competitive pay

Pension plan

Paid leave

Zurich office facilities

401(k) with company contributions

Health, dental & vision coverage

Job summary

Flexion Robotics in Zurich seeks an expert in robotics foundation models and multimodal human action data to advance dexterous manipulation. You will design capture pipelines, curate datasets, and build architectures that scale to real-world robotic systems.

The role blends research and engineering, turning cutting-edge ideas into robust, deployable hardware-enabled solutions within a fast-growing startup. Strong collaboration and hands-on experimentation are essential.

Qualifications

• PhD in Computer Science, a related field, or equivalent practical experience.
• Experience with vision, vision-language, video, and other multimodal models.
• Experience with multimodal generative modeling, training, and inference.
• Experience with reinforcement learning and imitation learning.

Responsibilities

• Develop methodologies to integrate human video demonstrations and wearable data into foundation model and RL workflows.
• Build automated pipelines to reconstruct 3D objects and environments for simulation.
• Create simulation environments with reconstructed assets and use RL to learn dexterous policies.
• Design, train, and evaluate robot foundation models translating multi-sensor data into control.
• Bridge human embodiment to dexterous hands and humanoid platforms.

Skills

Multimodal vision

Reinforcement learning

Imitation learning

Dataset design

Education

PhD in Computer Science or related field

Tools

Simulation environments

Robotics hardware & testing

Job description

Flexion Robotics in Zurich seeks an expert in robotics foundation models and multimodal human action data to advance dexterous manipulation. You will design capture pipelines, curate datasets, and build architectures that scale to real-world robotic systems.

The role blends research and engineering, turning cutting-edge ideas into robust, deployable hardware-enabled solutions within a fast-growing startup. Strong collaboration and hands-on experimentation are essential.