Machine Learning Engineer - Multimodal

HADRIAN - MANUFACTURING THE FUTURE Hadrian 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. THE ROLE Copilot is our system for automating Design for Manufacturing (DFM) analysis and generating manufacturing processes. We work directly with some of the best operators in the world to identify high-impact opportunities to automate and augment with software. Our team owns problems end-to-end: we design the software, define the manufacturing processes, and ensure they can be executed reliably in our factories. The work spans computational geometry, CAD/CAM integrations, high-performance systems, and full-stack web tooling. 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. 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 understanding manufacturing drawings and design intent. WHAT YOU'LL DO - 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 WHAT WE'RE LOOKING FOR - 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 BONUS POINTS - 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…