AI-Driven Manufacturing Data & Process Engineer

Telemetry Today LLC; Torrance, Northern (CA, KY); Hybrid; USD 130,000 - 190,000; Full time

Benefits offered by this job

Medical, dental, vision, and life保险

401k

Relocation support

Flexible vacation

Equity

Job summary

Hadrian is building autonomous manufacturing to reindustrialize America. We seek a data science and engineering specialist to own the analytics layer, curated datasets, and model infrastructure for AI-driven manufacturing insights in a production setting.

You will develop and deploy models predicting build quality, detect anomalies, and optimize parameters, while ensuring data quality and compliance with rigorous process controls. On-site in Torrance, CA, with travel as needed.

Qualifications

• 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.
• Proficiency in Python and relevant ML frameworks, and SQL fluency for working with manufacturing data at scale.
• Experience building analytical datasets from structured and time-series manufacturing data.
• Familiarity with structured problem-solving methodologies (8D, 5 Whys, fishbone) and statistical process control.

Responsibilities

• Own the monitoring and analytics layer for the AM fleet and surface critical alerts.
• Own curated datasets, feature definitions, labeling, and dataset versioning.
• Design, develop, and deploy AI/ML models trained on Hadrian manufacturing data.
• Build and maintain feature engineering and model infrastructure with data quality checks and versioning.
• Develop process monitoring dashboards and AI-driven alerting for real-time visibility.
• Integrate model outputs back into OPUS and manufacturing workflow for closed-loop control.
• Collaborate with Materials and Process to validate model outputs against physical knowledge.
• Apply SPC to AM process data and establish control limits and drift detection.
• Lead data-driven problem solving on process escapes using 8D, 5 Whys, and fishbone.

Skills

Python

ML frameworks

SQL

Data analysis

Analytical thinking

On-site work

Education

Bachelor's degree in related field

Tools

scikit-learn

TensorFlow

PyTorch

Data pipelines

Job description

Hadrian is building autonomous manufacturing to reindustrialize America. We seek a data science and engineering specialist to own the analytics layer, curated datasets, and model infrastructure for AI-driven manufacturing insights in a production setting.

You will develop and deploy models predicting build quality, detect anomalies, and optimize parameters, while ensuring data quality and compliance with rigorous process controls. On-site in Torrance, CA, with travel as needed.