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CompScience

Engineering Internship Program - Fall 2025

Posted Yesterday
Remote
Hiring Remotely in United States
Internship
Remote
Hiring Remotely in United States
Internship
Join as an AI & Computer Vision Intern to assist in developing models for workplace safety. Collaborate on risk analysis projects involving LLMs and AI.
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About CompScience

At CompScience, we're not just building software—we're saving lives. We're a high-growth startup on a mission to prevent 1 million workplace injuries through bold technological innovations, ensuring that everyone can go home safe at the end of the day.

Founded in 2019 and backed by investors from SpaceX, Tesla, and Anduril, we've assembled a powerhouse team that bridges two worlds:

  • Cutting-Edge Technology: Our engineering team is comprised of distinguished computer vision engineers, software architects, and data scientists from the self-driving car industry. They bring unparalleled expertise in AI and machine learning to the realm of workplace safety.

  • Insurance Acumen: Our insurance team comprises seasoned professionals who understand the nuances of workers' compensation policies. They work hand-in-hand with our tech experts to translate advanced analytics into tangible insurance products that truly serve our clients' needs.

Our groundbreaking perception-based risk assessment program, the first of its kind, provides the most comprehensive data stream available for risk analysis and monitoring and has proven to significantly reduce accidents in some of the world's most hazardous occupations.

About the Role

We are looking for a passionate and curious AI & Computer Vision Intern to join our rapidly growing team. In this role, you will be at the forefront of our mission, contributing to groundbreaking projects involving Large Language Models (LLMs), AI, and Computer vision. You will work closely with our experienced engineers on projects that directly impact workplace safety, gaining hands-on experience in a dynamic startup setting. This is an opportunity to apply your academic knowledge to real-world challenges and help build technology that saves lives.

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.

Working at CompScience

Compensation: CompScience is committed to fair and equitable compensation practices. Compensation is determined within the range based on your qualifications and work hours (Full Time/Part Time)

Top Skills

AWS
Python
PyTorch
Scikit-Learn
TensorFlow

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