AI & Computer Vision Intern
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Job Description
About CompScience
CompScience is a high-growth startup with a mission to prevent 1 million workplace injuries through technological innovations. They are backed by investors from SpaceX, Tesla, and Anduril. Their team combines expertise in:
• Cutting-Edge Technology: Computer vision engineers, software architects, and data scientists from the self-driving car industry, bringing expertise in AI and machine learning.
• Insurance Acumen: Seasoned insurance professionals who understand workers’ compensation policies.
CompScience’s perception-based risk assessment program provides data for risk analysis and monitoring to reduce accidents in hazardous occupations.
About The Role
CompScience is looking for a passionate and curious AI & Computer Vision Intern to join their rapidly growing team. In this role, you will be at the forefront of their mission, contributing to groundbreaking projects involving Large Language Models (LLMs), AI, and Computer vision. You will work closely with experienced engineers on projects that directly impact workplace safety, gaining hands-on experience in a dynamic startup setting.
Responsibilities
• Assist in the development, training, and testing of computer vision and machine learning models aimed at identifying workplace hazards.
• Contribute to innovative projects focused on the application of Large Language Models (LLMs) for risk analysis and safety insights.
• Collaborate with senior engineers to process and analyze large-scale visual and analytical datasets for model improvement.
• Support the integration of AI/ML models into our core products.
• Participate actively in team meetings, brainstorming sessions, and code reviews to foster knowledge sharing.
• Create and maintain clear technical documentation for your project contributions, findings, and processes.
• Stay current with emerging trends and research in AI, computer vision, and LLMs, presenting findings and potential applications to the team.
Required Experience
• Currently pursuing a Bachelor’s, Master’s, or PhD degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field.
• Solid programming skills and foundational knowledge of Python, particularly for data manipulation and scripting.
• A strong understanding of fundamental machine learning, computer vision, or natural language processing concepts.
• Familiarity with fundamental software engineering principles, including data structures and algorithms.
• Strong analytical and problem-solving skills with a genuine eagerness to tackle complex challenges.
• Excellent communication skills and a proactive, adaptable attitude suited for a dynamic, fast-paced startup culture.
Nice-to-have
• Previous project, research, or internship experience in computer vision, LLMs, or a related AI field.
• Hands-on experience with common machine learning frameworks and libraries (e.g., PyTorch, TensorFlow, Scikit-learn).
• Familiarity with cloud computing concepts or core AWS services.
