Senior Computer Vision ML Engineer — Remote | Equity

Portland Seed Fund; Oregon (WI); Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Growth opportunities

Impact driven work

Team collaboration

Late Start Wednesday

Generous time off

Holidays

Job summary

Overwatch Imaging is seeking a Senior Machine Learning Engineer specializing in computer vision to lead end-to-end data and model pipelines for real-time imagery systems. You will build training infrastructures, manage data workflows, and advance CV models for detection, tracking, and segmentation with potential multi-modal inputs.

We value hands-on experience with production systems and edge deployment on embedded GPUs.

Qualifications

• 5+ years of experience in machine learning with a focus on computer vision.
• B.S., M.S., or Ph.D. in Computer Science, Engineering, or related field, or equivalent practical experience.
• Hands-on experience building and improving CV models in production or real-world systems.

Responsibilities

• Design, build, and optimize end-to-end data and model pipelines for AI systems.
• Develop training pipelines for faster model iteration and reproducibility.
• Create data workflows for indexing, curation, preprocessing, and labeling quality.
• Train, evaluate, and iterate CV models for detection, segmentation, and tracking.
• Explore transformer and multi-modal architectures and domain-specific optimizations.
• Implement edge deployment and optimization for embedded GPUs (e.g., Nvidia Jetson).

Skills

5+ years in ML

Computer vision

Production CV models

Model evaluation & metrics

Strong software fundamentals

Education

CS/Engineering degree or equivalent

Tools

PyTorch or TensorFlow

OpenCV

NumPy

Job description

Overwatch Imaging is seeking a Senior Machine Learning Engineer specializing in computer vision to lead end-to-end data and model pipelines for real-time imagery systems. You will build training infrastructures, manage data workflows, and advance CV models for detection, tracking, and segmentation with potential multi-modal inputs.

We value hands-on experience with production systems and edge deployment on embedded GPUs.