Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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$177к-225к/год
$160к$190кмедиана$250к
По похожим ролям (48) ~ $190к/год
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Крутая вакансия
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В Company hidden чётко очерчена исследовательская роль в передовой гуманоидной робототехнике: можно регулярно работать с Atlas и доводить разработки до внедрения.
Передовой ИИ
Доступ к роботам
Чёткие задачи
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Research Scientist, VLA Models - Atlas (Robotics/AI): Architecting and deploying large-scale vision-language-action and behavior models for dexterous mobile manipulation on the Atlas humanoid with an accent on multimodal robot learning, imitation learning, and real-world deployment. Focus on building scalable training pipelines, enabling few-shot generalization across factory tasks, and integrating learned policies into a physical robot autonomy stack.
Location: Waltham Office, United States of America
Base pay: $177,000–$225,000 annually
Company
hirify.global develops advanced humanoid robots, including Atlas, for general-purpose real-world applications.
What you will do
Architect and train end-to-end VLA and Large Behavior Models for mobile manipulation on Atlas.
Build imitation learning and behavior cloning pipelines using human demonstrations, teleoperation, and simulation data.
Develop pre-training and fine-tuning workflows for multimodal robot learning and precision manipulation tasks.
Create policies that generalize across diverse factory manipulation tasks, embodiments, and environments.
Integrate learned models into the Atlas autonomy stack with robotics, controls, software, and hardware teams.
Deploy, evaluate, and iterate on models using physical hardware; write maintainable Python code for a production codebase.
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, World Action Models, and other state-of-the-art methods.
Experience with multimodal vision, language, action, and tactile robot learning.
Experience with PyTorch, JAX, simulators, and large-scale training workflows.
Strong analytical and debugging skills, with the ability to write and review well-structured research code.
Nice to have
Hands-on experience deploying learned policies on real robots.
Experience creating or curating large robotics datasets, including teleoperation, UMI, and 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 team environment that values diverse perspectives and identities.
Applied research with real-world impact in general-purpose humanoid robotics.
Medical, dental, and vision coverage, 401(k), paid time off, and an annual bonus structure.
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