Machine Learning Engineer - Multimodal

Hadrian Automation • Torrance, CA

2d • $160,000 - $250,000

About The Position

Copilot is Hadrian's system for automating Design for Manufacturing (DFM) analysis and generating manufacturing processes. The DFM team within Copilot is building the manufacturing data intelligence layer that serves as the tip of the spear for our automation stack. This platform ingests, interprets, and reasons over the full spectrum of manufacturing data (mechanical drawings, quality documentation, CAD data) and transforms it into structured, actionable information for the factory. As a Senior Machine Learning Engineer, you will own the ML lifecycle for the vision-language models that unify our perception and reasoning capabilities, building systems that understand manufacturing drawings and design intent.

Requirements

• 5-8 years of professional deep learning experience, with at least 2 years working on multimodal models leveraging image and text modalities
• Strong Python and PyTorch fluency: You've written custom training loops, loss functions, and data loaders from scratch when needed
• Production deployment ownership: You've shipped models to production and have been responsible for endpoint and model health
• MS or PhD in Computer Science, Electrical Engineering, or related field preferred; equivalent industry experience valued equally

Nice To Haves

• You have a passion for manufacturing and believe that the industry needs better software
• Previously worked in aerospace, defense, or manufacturing, and have experience working with manufacturing data
• Published research, achieved SOA results on relevant benchmarks, or contribute to open-source frameworks
• Prior experience working in a high-ownership startup environment

Responsibilities

• Research, develop, and deploy multimodal models that understand content from manufacturing documentation end-to-end, replacing traditional OCR-to-NLP cascades with unified architectures
• Work alongside the core-engineering team to build and maintain annotation tooling, implement active learning loops, and engineer synthetic data augmentation strategies
• Develop evaluation frameworks that quantify system behavior and user impact, extending beyond traditional benchmark metrics
• Collaborate with the other members of the machine learning team to set the technical and product roadmaps for the AI platform
• Burn down the long tail, as every percentage point of accuracy maps to man-years of time savings at our scale

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior