Senior LLM Engineer for Manufacturing Intelligence

Hadrian; Los Angeles (CA); On-site; USD 160,000 - 250,000; Full time

Benefits offered by this job

Health insurance

401(k)

Relocation support

Flexible vacation

Equity

Job summary

Hadrian is building autonomous factories that accelerate aerospace and defense manufacturing. We are seeking a Senior Machine Learning Engineer to own the ML lifecycle for language models that understand and reason about manufacturing data packages.

You will research, develop, and deploy fine-tuned language models, build annotation tooling, and collaborate on roadmap for the AI platform, turning accuracy gains into measurable time savings at scale.

Qualifications

• 5–8 years of professional AI/ML experience, with at least 2 years working directly with large language models.
• Strong Python and PyTorch fluency; custom training loops, loss functions, and data loaders.
• Production deployment ownership: shipped models to production and managed endpoints and model health.
• MS or PhD in Computer Science, Electrical Engineering, or related field preferred; equivalent industry experience valued equally.

Responsibilities

• Research, develop, and deploy fine‑tuned language models for document classification, key information extraction, table parsing, and multi‑page/document reasoning.
• Build and maintain annotation tooling, implement active‑learning loops, and engineer synthetic data augmentation strategies.
• Develop evaluation frameworks that extend beyond accuracy and CER, quantifying system behavior and user impact.
• Collaborate with the machine learning team to set technical and product roadmaps for the AI platform.
• Advance the long tail, turning every percentage point of accuracy into measurable time savings at scale.

Skills

Python

PyTorch

Education

MS or PhD in Computer Science / Electrical Engineering or related field

Job description

Hadrian is building autonomous factories that accelerate aerospace and defense manufacturing. We are seeking a Senior Machine Learning Engineer to own the ML lifecycle for language models that understand and reason about manufacturing data packages.

You will research, develop, and deploy fine-tuned language models, build annotation tooling, and collaborate on roadmap for the AI platform, turning accuracy gains into measurable time savings at scale.