TL;DR

AI Research Intern (AI Engineering): Conduct research and develop advanced machine learning models for intelligent driver safety systems with an accent on deep learning, computer vision, and edge AI. Focus on building and optimizing models for object detection, behavior analysis, and sensor fusion, solving complex real-world data challenges.

Location: San Diego, San Francisco, or Nashville, United States

Salary: $40 - $60 USD per hour

Company

%hirify_global% harnesses computer vision and edge computing to revolutionize transportation safety with rapidly growing disruptive technology.

What you will do

Conduct research and experiments in deep learning, computer vision, and machine learning algorithms.
Build and optimize models for object detection, behavior analysis, scene understanding, or sensor fusion.
Analyze large-scale datasets from real-world driving environments.
Implement and benchmark models using PyTorch or TensorFlow.
Collaborate with researchers, data scientists, and engineers to integrate models into production.
Document findings and present results to AI and engineering teams.

Requirements

Minimum Bachelor's degree in Computer Science, Electrical Engineering, AI, or related field.
Strong understanding of machine learning and deep learning fundamentals.
Experience with PyTorch or TensorFlow and programming in Python.
Familiarity with computer vision tasks like object detection and semantic segmentation.
Location: Must be based in or able to work onsite in San Diego, San Francisco, or Nashville, United States.
English: Proficient English required.

Nice to have

Experience with real-world video or sensor datasets.
Knowledge of edge AI optimization techniques such as quantization and pruning.
Familiarity with NVIDIA Jetson or similar edge deployment platforms.

Culture & 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.
Collaborative and innovation-driven work environment.