aicomputer visionstartupreinforcement learningrobotics3d reconstructionmultimodal modelsimitation learningrobot foundation modelsdexterous manipulation
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Текст:
Hirify AI/Оригинал
TL;DR
AI Research Engineer (Human Data) (AI/Robotics): Building multimodal human-data pipelines, robot foundation models, and simulation environments for dexterous humanoid manipulation with an accent on 3D reconstruction, wearable capture, reinforcement learning, and multimodal sensing. Focus on designing embodied-transfer algorithms, training control policies from human demonstrations, and deploying robust research systems on real humanoid hardware.
Location: Zürich, Switzerland; central Zürich office with robotics testing facilities. A San Francisco office is also mentioned.
Company
hirify.global develops the intelligence layer for humanoid robots, focusing on robot reinforcement learning and real-world humanoid deployment.
What you will do
Develop scalable pipelines integrating human video demonstrations, wearable capture systems, and unconstrained manipulation data into foundation model and reinforcement learning workflows.
Build automated pipelines for reconstructing manipulated 3D objects and environments and importing digital twins into simulation.
Create simulation environments and dexterous manipulation policies using reinforcement learning, tactile feedback, and force feedback.
Design, train, and evaluate robot foundation models that translate multimodal sensor streams into robust control.
Develop algorithms that transfer human demonstrations and embodiment to high-DOF dexterous hands and humanoid platforms.
Requirements
PhD in Computer Science, a related field, or equivalent practical experience.
Experience with vision, vision-language, video, and other multimodal models trained with human data.
Experience with multimodal generative modeling, training, and inference.
Experience with reinforcement learning and imitation learning.
Nice to have
Experience with human action capture methodologies, dataset design, and incorporating captured data into VLA, WAM, or reinforcement learning training.
Experience with simulators, real-world robots, dexterous manipulation, and multimodal sensing such as tactile and force sensing.
Culture & Benefits
Competitive compensation.
Enhanced pension plan and holiday and paid leave benefits.
Relocation and permit sponsorship.
Central Zürich office with advanced robotics testing facilities and infrastructure.
Collaborative, action-oriented culture with regular community events.
San Francisco benefits include 401(k) contributions, health, dental, and vision coverage, open PTO, and paid company holidays.
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