Hadrian Automation

Machine Learning Engineer - Multimodal

Los Angeles, CA · Full-time

Work authorization required$160k-$250kDetected 1 day ago

PythonFull-Stack DevelopmentMachine LearningDeep LearningPyTorchNLPRoboticsCAMElectrical EngineeringResearch

About the role

We work directly with some of the best operators in the world to identify high-impact opportunities to automate and augment with software.
The work spans computational geometry, CAD/CAM integrations, high-performance systems, and full-stack web tooling.
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.

Research, develop, and deploy multimodal models that understand content from manufacturing documentation end-to-end, replacing traditional OCR-to-NLP cascades with unified architectures
Develop evaluation frameworks that quantify system behavior and user impact, extending beyond traditional benchmark metrics
Hadrian is building autonomous factories that help aerospace and defense companies manufacture rockets, satellites, jets, and ships up to 10x faster and up to 2x cheaper.
Relocation support may be provided for certain situations, based on business need.

You have a passion for manufacturing and believe that the industry needs better software

MS or PhD in Computer Science, Electrical Engineering, or related field preferred
equivalent industry experience valued equally

For this role, the target salary range is $160,000 - $250,000 (actual range may vary based on experience).
This is the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting.
We may ultimately pay more or less than the posted range, and the range may be modified in the future.
An employee's pay position within the salary range will be based on several factors, including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs.

Medical, dental, vision, and life insurance plans for employees
Flexible vacation policy
Work alongside the core-engineering team to build and maintain annotation tooling, implement active learning loops, and engineer synthetic data augmentation strategies
Collaborate with the other members of the machine learning team to set the technical and product roadmaps for the AI platform
5-8 years of professional deep learning experience, with at least 2 years working on multimodal models leveraging image and text modalities
Production deployment ownership: You've shipped models to production and have been responsible for endpoint and model health

we design the software, define the manufacturing processes, and ensure they can be executed reliably in our factories.
We execute whatever is required to deliver a working solution and best serve our users.
The DFM team within Copilot is building the manufacturing data intelligence layer that serves as the tip of the spear for our automation stack.
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 understanding manufacturing drawings and design intent.
By combining advanced software, robotics, and full-stack manufacturing, we are reinventing how America produces its most critical parts.

This listing is sourced directly from Hadrian Automation's careers page and normalized into a canonical job model.