What we're Looking For

• Bachelor's degree in Manufacturing Engineering, Computer Science, Data Science, Materials Science, or related field.
• 4+ years in manufacturing data systems, process engineering, or data-driven manufacturing in a production environment.
• Hands-on experience developing and deploying AI/ML models in an engineering or manufacturing context, including model training, validation, and production deployment.
• Proficiency in Python and relevant ML frameworks (scikit-learn, TensorFlow, PyTorch, or equivalent), and SQL fluency for working with manufacturing data at scale.
• Experience building analytical datasets from structured and time-series manufacturing data, including handling of gaps, resampling, and data quality problems.
• Familiarity with structured problem-solving methodologies (8D, 5 Whys, fishbone) and statistical process control.
• Strong analytical skills, with the ability to connect model outputs to physical process understanding and actionable engineering decisions.
• Ability to work on site full time in Torrance, California, with travel up to 15% [CONFIRM].
• Must be a U.S. person for ITAR purposes — a U.S. citizen, lawful permanent resident, protected individual as defined by 8 U.S.C. 1324b(a)(3), or otherwise eligible to obtain the required authorizations from the U.S. Department of State.
  

What Will Set You Apart

• Experience applying AI/ML to metal additive manufacturing — build quality prediction, anomaly detection, melt pool monitoring, or process parameter optimization.
• Background with in-situ process monitoring data: layer imaging, thermal sensing, acoustic emissions, or scanner and galvanometer telemetry.
• Experience supporting qualification data packages for aerospace, defense, or regulated manufacturing environments.
• Familiarity with AMS7032, NIAR/NCAMP, or US Navy AM qualification requirements.
• Experience with MLOps practices — model versioning, monitoring, retraining pipelines, and production deployment.
• Experience with closed-loop or feedback control of a manufacturing process using model output.

Benefits for Full-time Employees

• 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

ITAR Requirements

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.

Use of AI in hiring

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.

Consideration of Criminal History

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 Is An Equal Opportunity Employer

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.

Compensation: $135K - $220K