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Чётко очерченная роль сочетает работу с реальными роботами и современные методы обучения моделей, давая заметную самостоятельность в перспективной области.
Передовые технологии
Перспективная область
Понятные задачи
Влияние на продукт
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Robotics Engineer - Learning for Manipulation (Robotics): Training and deploying learning-based manipulation policies and building real-world data-collection pipelines that combine vision, force/torque sensing, and robot hardware with an accent on contact-rich manipulation and multimodal learning. Focus on integrating sensors, robots, simulation, and learning systems while bringing models from experiments to reliable working robots.
Location: Zurich, Switzerland
Company
hirify.global builds force/torque sensors, robot-learning tools, and a platform for training robot AI with vision and force sensing.
What you will do
Train, fine-tune, and deploy learning-based manipulation policies, including imitation learning, diffusion policies, and VLAs, using vision and force/torque inputs.
Build and operate real-hardware data-collection pipelines covering kinesthetic teaching, teleoperation, synchronized multimodal recording, and dataset curation.
Integrate force-aware, physics-consistent simulation for training and evaluation.
Design reliable, scalable software architecture connecting sensors, robots, and the learning stack.
Collaborate directly with hardware and embedded engineers to move models from experiments to working robots.
Requirements
Degree in Robotics, Computer Science, Electrical Engineering, or a related field, ideally with 1–3 years of relevant experience in industry, research, or a substantial thesis.
Hands-on experience training and fine-tuning machine-learning models, ideally for robotics.
Strong Python skills and working knowledge of C++.
Experience with ROS 2 and real robot hardware.
Clear communication skills and enjoyment of cross-disciplinary collaboration.
Nice to have
Experience with robot-learning frameworks such as LeRobot, policy architectures such as ACT, diffusion policy, or VLAs, or multimodal/tactile learning.
Simulation experience with MuJoCo, Isaac Sim/Lab, or similar tools.
Experience with force control, impedance control, or contact-rich tasks.
Culture & Benefits
Ownership of a core product area with direct impact on shipped work.
Daily access to advanced sensors, robots, and teleoperation setups.
Work with a small, highly technical team in Zurich.
Mentorship from experienced robotics professionals and hands-on work with robotic systems.
Hiring process
Apply with a CV and a short note about a manipulation or robotics project you are proud of.
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