Applied AI Research & Engineering Intern

Aircapture•Berkeley, CA

17h•Onsite

About The Position

At Aircapture we’re creating and scaling a circular carbon economy to solve what we believe to be our lifetime's most pressing challenge: The climate crisis. We supply commercial and industrial customers with clean CO2 captured from our atmosphere to radically improve the environment, our economy, and our lives. We value building a team of people who represent diverse backgrounds--be it thought, education, gender, ethnicity, age, sexual orientation--to reach our goals. Thank you for considering us. You will work with contributors across all levels of the company, ranging from C-suite executives to your fellow interns. Your goal will be to implement AI-driven solutions that reduce friction, improve efficiency, and persist well beyond their initial deployment. You will have ownership of your projects, with the freedom to identify and pursue opportunities that are exciting to you. If you are looking for a project-based internship where you can gain hands-on experience and see your work create real-world impact, this is the role for you! Please include with your application a cover letter explaining what kinds of challenges you are excited to solve using AI at Aircapture. Include your experience with obstinate systems. This is a full time, Summer opportunity at our research and development facility in Berkeley, California.

Requirements

Currently pursuing a master's degree or PhD in computer science, machine learning, data science, engineering, statistics, or a related field
Expertise building practical tools using modern AI frameworks and LLM applications (we use ChatGPT, Claude, Notion AI, Gemini)
Experience creating and hosting scripts that leverage APIs to connect platforms and automate workflows
Ability to identify and mitigate cybersecurity risks associated with multi-platform workflows
Skilled in creating clear documentation and coaching colleagues in new tool usage
Ability to independently scope and execute projects

Responsibilities

Use AI tools to develop custom applications, retrieval systems, agents, and workflows
Analyze large and complex datasets to identify opportunities for optimization and automation
Set up predictive modeling, forecasting, and anomaly detection to help teams make quick, well-informed decisions
Partner with stakeholders throughout the company to identify opportunities to streamline or automate
Evaluate and iterate AI outputs for accuracy, reliability, and real-world usability
Empower your teammates to better understand and leverage their AI tools, “teach them how to fish”