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4 дня назад

Machine Learning Robotics Engineer (AI)

220 000 - 300 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Страна
US
Релокация
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Machine Learning Robotics Engineer (AI) (Machine Learning/Robotics): Building perception, motion-planning, and control pipelines for adaptive autonomous systems with an accent on computer vision, sensor fusion, and real-world robotics deployment. Focus on integrating learning-based models with ROS/ROS2, designing simulation and reinforcement-learning workflows, and evaluating robustness in live environments.

Location: On-site in Mountain View, CA, United States; local candidates or candidates willing to relocate are required. Remote work is not available.

Base salary: $220,000–$300,000 USD annually

Company

hirify.global develops autonomous systems combining machine learning, control systems, hardware, and robotics.

What you will do

  • Develop and optimize machine-learning models for perception, motion planning, and control.
  • Build computer-vision and sensor-fusion systems using camera, LiDAR, and IMU data.
  • Integrate learning-based models with ROS/ROS2 robotics software stacks.
  • Design data-collection, simulation, and reinforcement-learning workflows.
  • Collaborate with robotics and hardware engineers to deploy models in live environments.
  • Evaluate model performance and robustness across diverse real-world scenarios.

Requirements

  • 3–8 years of professional experience in machine learning, robotics, or computer vision.
  • Proficiency in Python and C++ for robotics and machine-learning development.
  • Hands-on experience with PyTorch and/or TensorFlow.
  • Proficiency with ROS or ROS2 and experience integrating ML models into robotics software stacks.
  • Experience with simulation and benchmarking environments such as Gazebo, Isaac Sim, CARLA, MuJoCo, or PyBullet.
  • Must be eligible to work in the United States without employer sponsorship.

Nice to have

  • Background in perception, motion planning, and control pipeline design for autonomous systems.
  • Experience with sensor fusion across camera, LiDAR, and IMU data sources.
  • Familiarity with reinforcement learning, imitation learning, or adaptive control.
  • Experience deploying ML models in real-time or embedded environments.

Culture & Benefits

  • Interdisciplinary collaboration with AI researchers, robotics engineers, and hardware engineers.
  • Work focused on embodied intelligence and physical-world autonomous systems.
  • Visa sponsorship is not available for this role.
  • Full-time employment with an annual base salary of $220,000–$300,000 USD.

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