Data Science/ Data Engineer Intern

Hadrian AutomationTorrance, CA
$46 - $51Onsite

About The Position

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.

Requirements

  • 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.

Nice To Haves

  • 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

Responsibilities

  • Build and maintain data pipelines that move machine, production, quality, and program data from the factory floor into our warehouse
  • Model and structure datasets that engineering, operations, and quality teams rely on for daily decision-making
  • Analyze production data to surface insights on throughput, capacity, cycle time, yield, and machine utilization
  • Develop dashboards, metrics, and reporting that improve visibility into factory performance and program status
  • Prototype statistical or machine learning approaches for problems like anomaly detection, demand forecasting, or process optimization
  • Collaborate with cross-functional teams including operations, program management, and quality to translate open questions into measurable analyses
  • Write clean, well-tested, well-documented code and participate in code reviews
  • Surface data quality issues and contribute to discussions on how we instrument and govern our data

Benefits

  • Housing support may be available based on business need.
  • Medical, dental, vision, and life insurance plans for employees
  • 401k
  • Relocation support may be provided for certain situations, based on business need.
  • Flexible vacation policy
  • Equity
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