Machine Learning Engineer, Geometric Vision, Self-Driving

Tesla - Palo Alto, CA

Full-time - Mid Level

Palo Alto, CA

Transportation Equipment Manufacturing

About the position

The Machine Learning Engineer for Geometric Vision at Tesla Motors, Inc. is responsible for developing and implementing advanced machine learning algorithms that enhance the capabilities of self-driving technology. This role focuses on geometric vision systems, contributing to the overall mission of creating safer and more efficient autonomous vehicles.

Responsibilities

• Design and implement machine learning algorithms for geometric vision applications.
• Collaborate with cross-functional teams to integrate machine learning models into self-driving systems.
• Analyze and preprocess large datasets to improve model performance.
• Conduct experiments to validate and optimize algorithms for real-world applications.
• Stay updated with the latest advancements in machine learning and computer vision.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Proven experience in machine learning, particularly in geometric vision or computer vision.
• Strong programming skills in Python and C++.
• Experience with deep learning frameworks such as TensorFlow or PyTorch.
• Familiarity with data processing and analysis tools.

Nice-to-haves

• Experience with autonomous vehicle technology.
• Knowledge of 3D geometry and spatial reasoning.
• Familiarity with robotics and sensor fusion techniques.

Benefits

• Competitive salary and performance-based bonuses.
• Comprehensive health insurance plans.
• 401(k) retirement savings plan with company matching.
• Paid time off and holidays.
• Opportunities for professional development and career growth.