Human Factors Engineer/ Principal Human Factors Engineer

About the role

The role involves developing advanced algorithms for autonomous systems. This includes designing machine learning models and integrating them into complex robotic platforms.

Responsibilities

• Design and implement machine learning models for autonomous systems.
• Collaborate with cross-functional teams to integrate AI solutions into robotic platforms.
• Conduct research on emerging technologies and their applications in robotics.
• Optimize existing models for better performance and efficiency.

Requirements

Minimum requirements include a Master's degree in Computer Science, Electrical Engineering, or a related field. Experience with Python, TensorFlow, and ROS is preferred.

Qualifications

• Strong background in machine learning and computer vision.
• Experience with ROS (Robot Operating System).
• Knowledge of Python and TensorFlow.
• Ability to work independently and in a team environment.

Skills

• Machine Learning
• ROS (Robot Operating System)
• Python
• TensorFlow

Benefits

This role offers competitive compensation, comprehensive health benefits, and opportunities for professional development.

Pay

$80,000 - $100,000 annually.

Schedule

Full-time, Monday through Friday, with occasional evening and weekend work as needed.