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3 часа назад

Research Scientist, VLA Models - Atlas (AI)

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

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TL;DR
Research Scientist, VLA Models - Atlas (AI): Architecting, training, and deploying large-scale vision-language-action and behavior models for dexterous mobile manipulation on the Atlas humanoid robot with an accent on imitation learning, multimodal modeling, and hierarchical skill systems. Focus on building few-shot generalization, integrating learned policies into the autonomy stack, and debugging models directly on physical hardware.

Location: Waltham Office, United States

Company

hirify.global develops advanced humanoid robotics, including the Atlas platform.

What you will do

  • Architect, train, and deploy end-to-end vision-language-action and large behavior models for mobile manipulation on Atlas.
  • Build imitation learning pipelines using human demonstrations, teleoperation, and simulation data.
  • Develop policies with few-shot generalization across diverse manipulation tasks, embodiments, and environments.
  • Create hierarchical behavior systems that combine learned skills into long-horizon behaviors.
  • Integrate learned models into Atlas’s autonomy stack with robotics, controls, and platform teams.
  • Deploy, debug, and iterate models on physical humanoid hardware while writing maintainable Python and C++ code.

Requirements

  • MS with 3+ years of experience or PhD in Machine Learning, Robotics, Computer Science, or a related field.
  • Experience training and deploying learned policies for complex behaviors in robots or simulated characters.
  • Strong background in behavior cloning, imitation learning, diffusion policies, ACT, large behavior models, sequence modeling, and multimodal vision-language-action learning.
  • Experience with PyTorch, JAX, and large-scale machine learning training workflows.
  • Strong analytical and debugging skills, with the ability to write reliable, well-structured research code.

Nice to have

  • Hands-on experience deploying learned policies on real robots.
  • Experience creating or curating large demonstration datasets from teleoperation, human demonstrations, or egocentric video.
  • Experience using reinforcement learning as a complementary tool in behavior learning pipelines.
  • Publications in top-tier machine learning or robotics conferences such as CoRL, RSS, ICRA, or NeurIPS.
  • Experience contributing to large C++ or Python codebases.

Culture & Benefits

  • Direct access to an advanced humanoid robot for frequent hardware testing.
  • Collaborative and inclusive working environment that values diverse perspectives and identities.
  • Opportunity to conduct applied vision-language-action research with real-world impact.
  • Mission-focused work on general-purpose humanoid robotics.

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