AI Research Intern

Netradyne • San Diego, CA

6h • $40 - $60

About The Position

Netradyne harnesses the power of Computer Vision and Edge Computing to revolutionize the modern-day transportation ecosystem. We are a leader in fleet safety solutions. With growth exceeding 4x year over year, our solution is quickly being recognized as a significant disruptive technology. Our team is growing, and we need forward-thinking, uncompromising, competitive team members to continue to facilitate our growth.
Position Overview:
We are seeking a passionate and motivated AI Research Intern to join our team. You will work on cutting-edge problems at the intersection of deep learning, computer vision, and edge AI. The role involves supporting the development and evaluation of advanced machine learning models that power our intelligent driver safety systems.

Requirements

• Minimum Bachelor's degree, in Computer Science, Electrical Engineering, Artificial Intelligence, or a related field.
• Solid understanding of machine learning and deep learning fundamentals.
• Experience with deep learning frameworks like PyTorch or TensorFlow.
• Strong programming skills in Python; experience with OpenCV, NumPy, and data processing libraries.
• Familiarity with computer vision tasks such as object detection, semantic segmentation, or tracking.
• Excellent analytical and problem-solving skills.
• Prior research experience, publications, or relevant projects are a plus.

Nice To Haves

• Experience working with real-world video or sensor datasets.
• Knowledge of edge AI optimization techniques (e.g., quantization, pruning).
• Familiarity with NVIDIA Jetson platforms or similar edge deployment environments.

Responsibilities

• Conduct research and experiments in deep learning, computer vision, and machine learning algorithms.
• Assist in building and optimizing models for object detection, behavior analysis, scene understanding, or sensor fusion.
• Analyze large-scale datasets collected from real-world driving environments.
• Implement and benchmark models using frameworks such as PyTorch or TensorFlow.
• Contribute to prototyping and feasibility studies of new AI features or model architectures.
• Work collaboratively with other researchers, data scientists, and software engineers to integrate models into production pipelines.
• Document findings and present results to the AI and engineering teams.

Benefits

• Hands-on experience in applied AI research with real-world data.
• Mentorship from senior AI scientists and engineers.
• Opportunity to contribute to cutting-edge safety technology impacting thousands of drivers.
• A collaborative, innovation-driven work environment.

What This Job Offers

• Career Level: Intern