Machine Learning Engineer - LLMs

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 help aerospace and defense companies manufacture rockets, satellites, jets, and ships up to 10× faster and up to 2× cheaper. By combining advanced software, robotics, and full‑stack manufacturing, we are reinventing how America produces its most critical parts.

The Role

Copilot is our system for automating Design for Manufacturing (DFM) analysis and generating manufacturing processes. We work directly with operators to identify high‑impact opportunities to automate and augment with software. The DFM team builds the manufacturing data intelligence layer that serves as the spearhead of our automation stack, ingesting mechanical drawings, quality documentation, and CAD data to produce structured, actionable information for the factory. As a Senior Machine Learning Engineer, you will own the ML lifecycle for the language models that understand and reason about manufacturing data packages.

What You’ll Do

• 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 alongside the core engineering team.
• Develop evaluation frameworks that extend beyond accuracy and CER, precisely 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.

What We’re Looking For

• 5–8 years of professional AI/ML experience, with at least 2 years working directly with large language models (fine‑tuning, RLHF/DPO, or pre‑training); strong consideration for experience with layout‑aware models.
• Strong Python and PyTorch fluency: custom training loops, loss functions, and data loaders written from scratch.
• 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.

Bonus Points

• Passion for manufacturing and a belief that the industry needs better software.
• Experience in aerospace, defense, or manufacturing, especially with manufacturing data.
• Published research or open‑source contributions achieving state‑of‑the‑art results on relevant benchmarks.
• Prior experience in a high‑ownership startup environment.

Compensation

The target salary range for this role is $160,000 – $250,000. The actual range may vary based on experience. Salary decisions are based on education, qualifications, certifications, experience, skill set, geographic location, performance, and business needs.

Benefits for Full‑time Employees

• Medical, dental, vision, and life insurance plans.
• 401(k) plan.
• Relocation support may be provided under business need.
• Flexible vacation policy.
• Equity.

ITAR Requirements

To conform to U.S. Government space technology export regulations, including ITAR, you must be a U.S. citizen, 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.

Hadrian Is An Equal Opportunity Employer

It is the Company’s policy to provide equal employment opportunity for all applicants and employees. The Company does not unlawfully discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, transgender status, national origin, ancestry, citizenship, age, physical or mental disability, height or weight, medical condition, family care status, military or veteran status, marital status, domestic partner status, sexual orientation, genetic information, reproductive rights, or any other protected characteristic. The Company also makes reasonable accommodations for disabled candidates and employees as required.