Machine Learning Engineer - Vision

About the role

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.

Responsibilities

• 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

Requirements

• 5-8 years of professional experience building and shipping computer vision models, with an emphasis on detection and/or segmentation
• 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

Qualifications

• 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

Skills

• Deep expertise in modern architectures using transformer backbones (ViT, Swin, etc…)

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

Pay

Compensation For this role, the target salary range is $160,000 - $250,000 (actual range may vary based on experience).

Schedule

N/A

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