Perception and Machine Learning Engineer

Up to $200k + Equity Options!

San Francisco

We are seeking an experienced Robotics Perception and Machine Learning Engineer to join an innovative team focused on advancing autonomous robotic systems. In this role, you will develop cutting-edge computer vision, perception, and machine learning algorithms to enhance robotic capabilities for real-world applications.

Responsibilities:

• Design and implement computer vision and machine learning algorithms to improve perception in robotics systems.
• Develop and integrate vision-based perception systems for autonomous navigation and interaction with dynamic environments.
• Collaborate with cross-functional teams to improve sensor fusion, data processing, and system performance.
• Optimize algorithms for real-time applications and hardware integration.

Requirements:

• Strong experience in machine learning, computer vision, and/or perception algorithms.
• Proficiency in programming languages such as Python, C++, or similar.
• Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and computer vision libraries (e.g., OpenCV).
• Familiarity with robotics systems and hardware integration.
• Background in autonomous systems, sensor fusion, or related areas is a plus.
• Strong problem-solving skills and ability to work in a collaborative environment.

If you're passionate about pushing the boundaries of robotics and AI technology, we want to hear from you.