4 дня назад
Machine Learning Robotics Engineer (AI)
220 000 - 300 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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