Machine Learning Engineer - Vision
$160,000–$250,000 year
On-siteLos Angeles, California, United States or Torrance, California, United States
Job Summary
Research, develop, and deploy cutting-edge object detection and segmentation models for layout analysis, document understanding, and semantic part understanding. Build and maintain annotation tooling, implement active learning loops, and engineer synthetic data augmentation strategies. Develop evaluation frameworks to capture metrics beyond mAP/IoU and collaborate with the team to set technical roadmaps for the AI platform. Own the ML lifecycle for detection and segmentation models at the core of the manufacturing intelligence pipeline. Requires 5-8 years of professional experience building computer vision models with deep expertise in transformer backbones. Salary range $160,000 - $250,000.
Required Qualifications
- 5-8 years of professional experience building and shipping computer vision models, with an emphasis on detection and/or segmentation
- 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
- 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
Desired Qualifications
- MS or PhD in Computer Science, Electrical Engineering, or related field preferred; equivalent industry experience valued equally
- 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
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.