Machine Learning Engineer - Multimodal

Overview As a Senior Machine Learning Engineer on the Copilot DFM team, you own the ML lifecycle for vision-language models that parse manufacturing drawings and design intent. You’ll build end-to-end systems that interpret manufacturing data, replacing OCR pipelines with unified architectures. You’ll work with core engineers to create annotation tooling, active learning, and synthetic data strategies, and shape the AI platform roadmap. This role directly impacts factory automation at scale, accelerating precision and efficiency in aerospace manufacturing. Compensation / BenefitsMedical, dental, vision, and life insurance401kRelocation support may be providedFlexible vacation policyEquity ResponsibilitiesResearch, develop, and deploy multimodal models for manufacturing documentation end-to-endCollaborate with core-engineering to build annotation tooling, active learning loops, and synthetic data augmentationDevelop evaluation frameworks to quantify system behavior and user impact beyond traditional benchmarksWork with ML team to set technical and product roadmaps for the AI platformDrive improvements where small accuracy gains translate into large time savings at scale Key requirements5-8 years of professional deep learning experience2+ years working on multimodal models with image and textStrong Python and PyTorch fluency including custom training loops, loss functions, and data loadersExperience shipping models to production and owning endpoint healthMS or PhD in CS, EE, or related field preferred; equivalent experience valuedownership mindsetcross-functional collaborationproblem-solvingPythonPyTorchmultimodal modeling (image + text)