Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Очень мало
$60к-78к/год
$110к$130кмедиана$160к
По похожим ролям (21) ~ $130к/год
Прикинули из $5к-6.5к/мес × 12
78
Хорошая вакансия
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Стажировка включает практическую работу с робототехническими моделями на всех этапах - от обучения и оценки до внедрения. Чёткий фокус и сильная специализация в AI-робототехнике делают её перспективным стартом карьеры.
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Ниже рынкаПерспективная сфераПолный цикл работыСовременные ML-инструментыРабота в офисе
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Machine Learning Engineer Intern (AI & Robotics): Building and deploying robot foundation models, data pipelines, and evaluation systems for contact-rich industrial manipulation with an accent on multimodal learning, tactile and force-torque sensing, and real-time inference. Focus on training VLA and world-action models, evaluating them in simulation and on real robots, and transferring research into production robotics systems.
Location: Milpitas, United States; 5 days/week in-office collaboration required
Salary: $5,000–$6,500 monthly
Company
hirify.global is an AI robotics company developing Physical AI-powered robots for dull, dirty, and dangerous industrial work, with a focus on real-world deployment and scalability.
What you will do
Train and improve robot foundation models, including vision-language-action and world-action models, for precise contact-rich manipulation.
Explore tactile and force-torque sensing, reinforcement learning, simulation, and other modalities to advance model capabilities.
Build robot-learning data pipelines covering collection, curation, labeling, and dataset quality assurance.
Design and run evaluations in simulation and on real robots.
Deploy models on robots and optimize them for real-time onboard inference.
Collaborate with robotics, hardware, and product teams to bring models from research to production.
Requirements
Currently pursuing an advanced degree in Computer Science, Robotics, Machine Learning, or a related field.
Graduation date in 2026 or 2027.
Proficiency in multimodal models and modern machine learning architectures, including transformers and diffusion models.
Proficiency in reinforcement learning.
Proficiency with deep learning frameworks such as PyTorch, JAX, or TensorFlow.
Must collaborate in the office 5 days per week.
Nice to have
Exposure to robot learning using tactile and/or vision-based sensors.
Expertise in object pose estimation, bimanual manipulation, and synthetic data.
Culture & Benefits
Full-time internship lasting 3–6 months.
Internship starts in November 2026.
Hands-on work with AI engineers on real-world robotics challenges.
Close collaboration across AI, robotics, hardware, and product teams.
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