Netradyne→
AI Research Intern at Netradyne in San Diego, CA
InternshipOn-siteFull-timeSan Diego, CA$83k–$125k/yr
Skills
deep learningcomputer visionmachine learningpythonpytorchtensorflowopencvanalytical skillsresearch experienceproblem-solving skillscollaboration
Job Description
Summary: Netradyne is a leader in fleet safety solutions, harnessing the power of Computer Vision and Edge Computing to revolutionize the transportation ecosystem. They are seeking a passionate AI Research Intern to work on cutting-edge problems in deep learning, computer vision, and edge AI, supporting the development of advanced machine learning models for intelligent driver safety systems.
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
Required Qualifications:
- 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
Preferred Qualifications:
- 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
Required Skills: Deep learning, Computer vision, Machine learning
Important Skills: Python, PyTorch, TensorFlow, OpenCV
Nice-to-Have Skills: Analytical skills, Research experience, Problem-solving skills, Collaboration
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.
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.