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Company hidden
9 дней назад

AI Research Engineer (Human Data)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Switzerland
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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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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