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Flexion Robotics

Humanoid-robotics AI brain for autonomy

AI Research Engineer/Scientist - Human Data, Robotics

AI ResearchConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USANo salary listed

About the Job

Requirements

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

Responsibilities

  • Develop methodologies and capture pipelines to integrate human video demonstrations, wearable systems such as UMI or sensorized gloves, and unconstrained manipulation data into foundation model and reinforcement learning 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 feedback, 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-degree-of-freedom dexterous hands and humanoid platforms.
  • Drive large-scale experimentation and deploy research ideas across physical intelligence problems.
  • Own development of systems that turn research into robust, real-world implementations.

Desired Qualifications

  • Experience with capture methodologies, dataset design, experimentation, and incorporating captured human action data into vision-language-action, world-action-model, or reinforcement learning training.
  • Experience with simulators and real-world robots, especially dexterous manipulation and multimodal sensing such as tactile and force sensing.

About the Company

Flexion Robotics

Humanoid-robotics AI brain for autonomy

Flexion Robotics builds the AI brain for humanoid robots, enabling autonomy by letting robots understand natural-language tasks, plan motions, and control their bodies through reinforcement learning and sim-to-real training. Its stack includes a command layer that uses language models for task decomposition, a motion layer with vision-language-action models trained largely on synthetic data, and a low-latency whole-body control layer with modular skills. The company differentiates itself with an ETH Zurich–trained engineering team and a full-stack approach that covers language, motion, and real-time control, plus active funding and OEM partnerships. Its goal is to enable useful, widespread autonomy for humanoid robots by partnering with original equipment manufacturers to scale robot fleets and establish a US presence.

Company size
51-200
Company stage
Series A
Total funding
$57.4M
Headquarters
Zurich, Switzerland
Founded
2025

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