Machine Learning Engineer (Vision)

• 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 detection and segmentation models at the core of our manufacturing intelligence pipeline
• Research, develop, and deploy cutting-edge object detection and segmentation models for layout analysis, document understanding, and semantic part understanding
• 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 to capture metrics that extend beyond mAP/IoU, precisely quantifying system behavior and user impact
• 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

• Relocation stipend if you’re moving from outside of LA
• 100% coverage of platinum medical, dental, vision, and life insurance plans for employees
  401k
• Flexible vacation policy- Deep expertise in modern architectures using transformer backbones (ViT, Swin, etc…)
• 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
• 5-8 years of professional experience building and shipping computer vision models, with an emphasis on detection and/or segmentation
• 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
• To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., 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