Manufacturing Data & Process AI Integration System Engineer, Additive Manufacturing

We Love AI Jobs; Los Angeles, Northern (CA, KY); Hybrid; USD 135,000 - 220,000; Full time

Job summary

Hadrian is hiring an engineer to build data and ML systems for additive manufacturing. You will deploy models predicting build quality, detecting anomalies, and enabling parameter optimization on the AM fleet.

You will curate datasets, develop dashboards and alerts, and integrate outputs into production workflows, validating with Materials & Process teams and ensuring real-time visibility.

Qualifications

• Bachelor's degree in a related field.
• 4+ years in manufacturing data systems or data-driven manufacturing.
• Hands-on experience deploying AI/ML models in production.

Responsibilities

• Develop and deploy models that predict build quality, detect anomalies, and optimize processes.
• Build curated datasets, model infrastructure, dashboards, and alerts for monitoring.
• Integrate model outputs into manufacturing workflows and validate with teams.
• Apply statistical process control to monitor AM data and detect drift.

Skills

Python

scikit-learn

TensorFlow

PyTorch

SQL

Statistical process control

MLOps

Time-series analysis

Education

Bachelor's Degree

Job description

# Manufacturing Data & Process AI Integration System Engineer, Additive ManufacturingHadrianLos Angeles, CAFull-time$135,000 – $220,000 / yearAI tools:scikit-learnTensorFlowPyTorchUpload your resume once and Scout applies for youApply with ScoutShare this job:LinkedInXSave imageThis engineer builds data and machine-learning systems for Hadrian’s additive manufacturing fleet, including models for build quality, anomalies, and process optimization. The role connects machine data to production decisions through dashboards, alerts, and integration with manufacturing workflows, while working with engineering and materials teams to validate results.* Permanent* On-site* 4+ years* Bachelor's Degree### Skills and expertisePythonscikit-learnTensorFlowPyTorchSQLstatistical process controlMLOpstime-series data analysis### Key responsibilities* Develop and deploy models that predict build quality, detect anomalies, and identify process optimization opportunities.* Build curated datasets, model infrastructure, dashboards, and alerts for additive manufacturing process monitoring.* Integrate model outputs into manufacturing workflows and validate them with materials and process teams.## How this job comparesCompared with 329 open mid-level machine learning jobs on October 10, 2026.Pay: This job pays $135K to $220K a year. The 119 open mid-level machine learning jobs that publish US pay start at $180K on average, so this job starts about 25% lower.Similar open jobs: We Love AI Jobs lists 329 open mid-level machine learning jobs at 145 companies.Remote work: This job is on site. 66 of the 329 mid-level machine learning jobs (20%) are remote.AI in this role: High. AI is the core of the work: building, training or deploying AI systems. Developing and deploying AI/ML models is a core responsibility, including prediction, anomaly detection, and process optimization. The role also builds infrastructure to track model performance in production.## Full descriptionHadrian - Manufacturing the FutureHadrian 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.Following our $1.37B Series D at a $7.87B valuation, Hadrian is rapidly expanding our manufacturing footprint, launching new capabilities across welding, casting, forging, electronics, additive manufacturing, and more, while scaling our Factory-as-a-Service platform to transform how critical products are built.Backed by leading investors including JPMorgan Chase, Valor Equity Partners, Andreessen Horowitz, Founders Fund, 137 Ventures, Lux Capital, T. Rowe Price, and Morgan Stanley, we’re building the future of American manufacturing—and looking for exceptional people to help make it happen.If you’re ready to take on the most challenging and rewarding work of your career while helping create American manufacturing jobs for generations to come, you’re exactly who we’re looking for.What You'll Do• Monitoring and Analytics Layer: Own the monitoring and analytics layer for the AM fleet — what is computed from raw machine and build data, what is surfaced, and what triggers an alert, at the fidelity traceability and modeling require.• Analytical Data Layer: Own the curated datasets, feature definitions, labeling, and dataset versioning, built on the canonical machine data model and pipelines owned by the Machine Controls & Data Integration Engineer.• AI/ML Model Development: Design, develop, and deploy models trained on Hadrian manufacturing data to predict build quality, detect process anomalies, and identify parameter optimization opportunities.• Model Infrastructure: Build and maintain the feature engineering and model infrastructure — data quality checks, labeling workflows, model versioning, and model performance tracking in production.• Dashboards and Alerting: Develop process monitoring dashboards and AI-driven alerting that give engineering and operations real-time visibility into machine and build health.• Closing the Loop: Integrate model outputs back into OPUS and the manufacturing workflow so predictions drive action, and work toward closed-loop parameter adjustment.• Physical Validation with M&P: Collaborate with Materials and Process and Application Engineering to validate model outputs against physical process knowledge before they influence production decisions.• Statistical Process Control: Apply SPC to AM process data, and establish the control limits and drift detection that flag a machine leaving its qualified operating envelope.• Qualification Analysis Support: Supply capability, repeatability, and process analysis in support of qualification — machine capability data to the System Qualification Engineer for installation and operational qualification, and performance qualification analysis support to Materials and Process and Application Engineering for customer data packages.• Data-Driven Problem Solving: Lead structured problem-solving on process escapes and build anomalies using 8D, 5 Whys, and fishbone analysis, driving corrective and preventive action to verified closure.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.