Machine Learning Research Intern

Insight Global is seeking a Machine Learning Research Intern to support a cutting-edge automotive technology client. This individual will focus on developing AI-driven world models for connected and automated driving applications. The ideal candidate has a strong research background in machine learning and is passionate about advancing AI in simulation and real-world environments.

Key Responsibilities:

• Develop and evaluate AI-based world models for connected and autonomous driving systems
• Research and implement generative and latent-space modeling approaches (e.g., diffusion models, VAEs)
• Conduct experiments using simulation platforms and/or real-world driving datasets
• Analyze results and present findings through technical documentation and presentations
• Collaborate with cross-functional research and engineering teams

Required Qualifications:

• Currently pursuing a PhD or Master’s degree in Computer Science, Electrical Engineering, Mechanical Engineering, or a related field with a focus on AI/ML
• Strong foundation in machine learning and deep learning concepts
• Experience with simulation tools (e.g., CARLA or similar platforms)
• Proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow)
• Strong research, analytical, and problem-solving skills
• Ability to communicate technical findings clearly in written and verbal formats

Additional Details:

This is a summer internship opportunity

Pay rate:

• PhD candidates: $57.20/hour
• Master’s candidates: $45.10/hour
• $2,000 one-time relocation stipend available for candidates relocating more than 50 miles