Research Scientist/Engineer, Robotics Foundation Models

flexion • Switzerland

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AI Summary

Seeking an expert in robotics foundation models and multi-modal human action data to advance generalizable manipulation. Responsibilities include developing capture pipelines, building simulation environments, and designing/evaluating robot foundation models. Requires a PhD or equivalent experience with multimodal models and reinforcement learning.

Key Highlights

Develop methodologies for integrating human action data into foundation models.

Build simulation environments and reinforcement learning pipelines for dexterous manipulation.

Design, train, and evaluate robot foundation models for multi-sensor data translation.

Key Responsibilities

Develop methodologies and capture pipelines to integrate human video demonstrations, wearable systems, and unconstrained manipulation data directly into foundation model and RL workflows.

Build automated pipelines to reconstruct manipulated 3D objects and environments from capture data, importing digital twin assets into simulation to enable scalable scenario synthesis.

Build simulation environments with reconstructed assets, leveraging reinforcement learning, tactile, and force feedback to produce dexterous manipulation policies.

Design, train, and evaluate robot foundation models that translate multi-sensor data streams into robust control.

Design algorithms to bridge human embodiment to high-DOF dexterous hands and humanoid platforms.

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Technical Skills Required

Reinforcement Learning Multimodal Models Robotics

Benefits & Perks

Competitive compensation

Enhanced pension plan

Enhanced holiday & paid leave perks

Relocation & permit sponsorship

401(k) with company contributions

Health, dental & vision coverage

Open PTO policy & paid company holidays

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Nice to Have

Experience with capture methodologies, dataset design, experimentation, and incorporation of captured human action data into VLA, WAM, or RL training.

Experience with simulators and real-world robots, especially dexterous manipulation, as well as multimodal sensing (e.g., tactile, forces).

Job Description

At Flexion, we're building the intelligence layer powering the next generation of humanoid robots. Our mission is to accelerate the transition from fragile prototypes to real-world humanoid deployment. We are founded by leading scientists in robot reinforcement learning (ex-Nvidia, ex-ETH Zürich), and backed by leading international VC firms. In just months, we've gone from our first line of code to deploying real humanoid capabilities.

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