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1 месяц назад

AI Engineer (Robotics)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Страна
CR
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 Engineer (Robotics): Building and managing a high-quality training corpus for robot manipulation policies with an accent on computer vision, camera calibration, and 3D geometry. Focus on defining capture specifications, evaluating dataset trainability, and running initial training evaluations for autonomous warehouse operations.

Location: Prague, Czech Republic (Hybrid)

Company

hirify.global is a leading Central European e-grocer building the autonomous grocer of the future, integrating AI and robotics into fulfillment centers to optimize fresh food logistics.

What you will do

  • Define and enforce capture specifications for warehouse footage, including camera calibration and quality standards.
  • Develop evaluation harnesses to determine the trainability of collected data for robot-learning models.
  • Perform post-training on open robot-learning models using internal data and evaluate task performance.
  • Bridge the gap between warehouse reality and model requirements by measuring ground truth and hand-pose estimation.
  • Provide technical judgment to steer data collection strategies and capital investments in hardware.

Requirements

  • Proficiency in PyTorch and computer vision with real 3D geometry (camera calibration, pose estimation, SLAM).
  • Experience reading and reproducing research papers in a practical, real-world environment.
  • Deep understanding of robot-learning stacks and policy classes.
  • Proven experience training models on self-collected datasets and identifying failure modes.
  • Familiarity with ROS 2 and multi-camera rig synchronization.
  • Ability to work independently as the primary ML voice in a cross-functional team.

Culture & Benefits

  • Opportunity to build a unique, high-value data asset in the complex domain of fresh grocery manipulation.
  • Access to off-the-shelf hardware and a managed cloud estate.
  • Work in a fast-paced environment where AI agents are integrated into daily engineering workflows.
  • Direct impact on capital decisions and the development of physical-AI systems.

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