Data Science/ Data Engineer Intern

Hadrian is building autonomous factories to reindustrialize America. By combining AI, advanced software, robotics, and full-stack manufacturing, we help aerospace and defense companies build rockets, satellites, aircraft, ships, and other mission-critical systems up to 10x faster and at significantly lower cost.

Hadrian is looking for a Data Science/ Data Engineer Intern to join the team building the data backbone of our autonomous factory. Every machine, part, and process on our floor generates data, and how well we move, model, and interpret that data determines how fast we can scale. You'll work alongside experienced engineers and analysts on real production data- from the pipelines that move machine telemetry and quality records into our warehouse to the models and analyses that shape how we run the factory. This is a hands-on role where your work will ship, and your contributions will directly influence operational decisions at Hadrian.

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  Build and maintain data pipelines that move machine, production, quality, and program data from the factory floor into our warehouse

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  Model and structure datasets that engineering, operations, and quality teams rely on for daily decision-making

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  Analyze production data to surface insights on throughput, capacity, cycle time, yield, and machine utilization

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  Develop dashboards, metrics, and reporting that improve visibility into factory performance and program status

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  Prototype statistical or machine learning approaches for problems like anomaly detection, demand forecasting, or process optimization

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  Collaborate with cross-functional teams including operations, program management, and quality to translate open questions into measurable analyses

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  Write clean, well-tested, well-documented code and participate in code reviews

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  Surface data quality issues and contribute to discussions on how we instrument and govern our data

• Current university student pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Applied Math, Engineering, or a related field, with an expected graduation date between December 2027 and June 2028

• Proficiency in Python and SQL

• Familiarity with data pipelines, ETL/ELT workflows, or cloud data warehouses

• Working knowledge of statistics and the ability to turn a messy dataset into a defensible conclusion

• Strong problem-solving skills and the ability to work through ambiguous technical challenges

• Clear written and verbal communication, including the ability to explain analysis to non-technical partners

• Strong attention to detail and follow-through

• Comfortable working in a fast-moving, highly ambiguous environment

• Willingness to work on-site in Los Angeles, CA

• Internships are available for our Fall 2026, Spring 2027, and Summer 2027 cohorts. Indicate your preferred term(s) when applying.

• Prior internship or project experience building production data pipelines or shipping analysis that changed a decision

• Experience with orchestration or transformation tooling

• Exposure to time-series, sensor, or telemetry data

• Interest in manufacturing systems, automation, or industrial software

• Hands-on experience building data infrastructure and analysis for a high-growth, mission-driven industrial company

• Direct involvement with real production data, not sample datasets or side projects

• Exposure to the full path from raw factory signal to operational decision

• A front-row seat to how Hadrian is transforming aerospace and defense manufacturing through software, automation, and data

This reflects the lowest to highest hourly rate we reasonably and in good faith believe we would pay for this intern position at the time of this posting. We may ultimately pay more or less than the posted range, and the range is subject to change. An intern's hourly rate within this range will be based on several factors, including, but not limited to relevant education, prior experience, skills, geographic location, and the nature of the internship assignment.

To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.

To conform to U.S. Government export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen or national, lawful permanent resident, protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.

Hadrian uses AI-assisted tools in our recruiting and hiring processes to help our team work more efficiently. This may include tools that help organize and analyze recruiting data, as well as an AI-powered notetaker that can record and transcribe interviews and help coordinate feedback. These tools support our team and are not used to make hiring decisions. All candidate evaluations and hiring decisions are performed by humans. If an interview will be recorded, you will be notified in advance and may opt out at any time with no impact on your candidacy. Candidate data processed through these tools is subject to the same protections described in our Privacy Policy.

Hadrian will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of all applicable laws. We do not ask about criminal history on our application, and we do not consider criminal history before making a conditional offer of employment.

Hadrian does not unlawfully discriminate on the basis of race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, marital status, mental status, physical disability or any other legally protected status. When necessary, the Company also makes reasonable accommodations for disabled candidates and employees, including for candidates or employees who are disabled by pregnancy, childbirth, or related medical conditions.