Computer Science Intern at CycloKinetics in Salt Lake City, UT

Summary: CycloKinetics is advancing the next generation of high-performance propellants for aerospace and defense. They are seeking a Computer Science Intern to support the development and deployment of internal tools and AI that enhance operational efficiency, working closely with engineers to build, test, and deploy practical solutions. Responsibilities: - Strong commitment to safety is required - Perform job duties in a safety-regulated environment where chemicals are used - Support development of internal tools for engineering, operations, and business workflows - Work with structured and unstructured data to enable AI-driven insights and automation - Help integrate internal tools with existing systems (databases, file systems, internal software) - Develop scripts, utilities, or small applications to support engineering and operational needs - Participate in testing and validation of AI outputs and workflows - Document systems, tools, and processes for internal use - Collaborate with engineering teams to identify high-impact opportunities - Maintain awareness of emerging AI tools and recommend practical applications - Participate in meetings and planning sessions, providing work updates or summaries as requested - Work is performed on-site at your designated work location - Maintain accurate and complete records, test results, and data, in accordance with company guidelines on documentation, storage, and control - Perform additional duties as assigned by the Manager/Supervisor or designated leadership Required Qualifications: - Currently pursuing a Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field - Demonstrated interest or experience in AI / machine learning / LLMs - Familiarity with Python or similar scripting languages - Interest in locally hosted AI environments - Basic understanding of data structures, APIs, and system integration concepts - Ability to work independently and take ownership of small projects - Strong problem-solving skills and attention to detail - Strong communication skills and willingness to work with cross-functional teams - Ability to work both independently and as part of a team - Strong communication skills and willingness to learn in a fast-paced environment - Demonstrated proficiency in common computer tools and web-based applications - Highly detail-oriented and organized, with a proactive, self-driven approach and demonstrated record of taking initiative to drive scientific and operational goals - Strong commitment to safety is required - Perform job duties in a safety-regulated environment where chemicals are used - Support development of internal tools for engineering, operations, and business workflows - Work with structured and unstructured data to enable AI-driven insights and automation - Help integrate internal tools with existing systems (databases, file systems, internal software) - Develop scripts, utilities, or small applications to support engineering and operational needs - Participate in testing and validation of AI outputs and workflows - Document systems, tools, and processes for internal use - Collaborate with engineering teams to identify high-impact opportunities - Maintain awareness of emerging AI tools and recommend practical applications - Participate in meetings and planning sessions, providing work updates or summaries as requested - Work is performed on-site at your designated work location - Maintain accurate and complete records, test results, and data, in accordance with company guidelines on documentation, storage, and control - Perform additional duties as assigned by the Manager/Supervisor or designated leadership Preferred Qualifications: - Experience with LLM tools, embeddings, or retrieval systems - Familiarity with running AI models locally (GPU/CPU environments, containers, etc.) - Experience with databases (SQL or NoSQL) - Exposure to industrial, manufacturing, or engineering environments - Experience with scripting, automation, or internal tool development Required Skills: Artificial intelligence, Machine learning, Large language models, Python, Scripting, Data structures, API integration, System integration, SQL, NoSQL, Automation, Internal tool development, Self-direction