Staff Computer Vision AI/ML Engineer

Vets Hired; Aurora (CO); On-site; USD 180,000 - 270,000; Full time

Job summary

Vets Hired is seeking a Staff Computer Vision AI/ML Engineer to lead R&D, optimization, and deployment of AI/ML for remote sensing and ATR. You will guide researchers and developers from prototype to operation, focusing on Python-based CV work and cloud deployment.

You will supervise interdisciplinary teams, translate complex concepts for government customers, and drive project milestones with program managers. This role is deeply technical and mission-focused.

Qualifications

• Active TS/SCI clearance required.
• Bachelor's degree in Data Science, AI/ML, Computer Science, or a related field.
• 10+ years of professional experience in software development or data science.
• 5+ years developing and training AI/ML models.
• Experience leading interdisciplinary teams of researchers and software developers.
• Experience working with program managers to define project scope, schedules, and milestones.
• Experience selecting, evaluating, and improving AI/ML approaches.
• Strong Python programming experience.
• Experience with AI/ML frameworks such as PyTorch, TensorFlow, Keras, PyTorch Lightning, scikit-learn, scikit-image, or OpenCV.
• Experience developing convolutional or transformer-based computer vision models.
• Strong technical communication and documentation skills.
• Ability to prepare and present technical reports to engineering teams and customers.

Responsibilities

• Lead a team of developers and researchers implementing AI/ML algorithms for computer vision and remote sensing.
• Analyze and preprocess large remote sensing datasets.
• Research supervised and unsupervised Automatic Target Recognition (ATR) solutions.
• Research multimodal data fusion for ATR across diverse data-collection scenarios.
• Train, optimize, and deploy deep-learning computer vision models.
• Apply AI/ML techniques to solve computer vision problems across multiple domains.
• Evaluate emerging research and publications related to AI/ML and computer vision.
• Translate complex technical concepts into understandable information for government customers.
• Apply AI/ML research to defense and commercial applications.
• Guide and mentor junior engineers, researchers, and software developers.
• Collaborate with program management to define project scope, schedules, and milestones.
• Select appropriate AI/ML approaches and iterate or pivot strategies to improve performance.
• Develop technical documentation, code documentation, capability descriptions, and user guides.
• Support the development and growth of AI/ML technical capabilities and strategy.

Skills

Active TS/SCI clearance

Python programming

AI/ML frameworks

PyTorch

TensorFlow

Keras

PyTorch Lightning

scikit-learn

scikit-image

OpenCV

CNN/Transformer CV models

Team leadership

Project scoping with PMs

Technical communication

Documentation writing

Deployment/containers

Linux

AWS (EC2, S3, Lambda)

Graph Convolutional Networks

Self-Supervised Learning (SSL)

DINO/BYOL

Overhead imagery datasets

SAR/EO imagery

Multimodal data fusion

Education

Bachelor's degree in Data Science, AI/ML, Computer Science, or related field

MS or PhD in Machine Learning, Computer Science, Computer Vision, Mathematics, or related field

Tools

AWS (EC2, S3, Lambda)

Version control processes

Job description

Job Summary

The Staff Computer Vision AI/ML Engineer leads the research, development, optimization, and deployment of AI/ML-based computer vision solutions for remote sensing applications. The role focuses on Automatic Target Recognition (ATR), multimodal data fusion, deep learning, image processing, and cloud-based deployment. This position also provides technical leadership by guiding researchers and software developers and helping mature AI/ML capabilities from prototype through operational deployment.

Key Responsibilities

• Lead a team of developers and researchers implementing AI/ML algorithms for computer vision and remote sensing.


• Analyze and preprocess large remote sensing datasets.


• Research supervised and unsupervised Automatic Target Recognition (ATR) solutions.


• Research multimodal data fusion for ATR across diverse data-collection scenarios.


• Train, optimize, and deploy deep-learning computer vision models.


• Apply AI/ML techniques to solve computer vision problems across multiple domains.


• Evaluate emerging research and publications related to AI/ML and computer vision.


• Translate complex technical concepts into understandable information for government customers.


• Apply AI/ML research to defense and commercial applications.


• Guide and mentor junior engineers, researchers, and software developers.


• Collaborate with program management to define project scope, schedules, and milestones.


• Select appropriate AI/ML approaches and iterate or pivot strategies to improve performance.


• Develop technical documentation, code documentation, capability descriptions, and user guides.


• Support the development and growth of AI/ML technical capabilities and strategy.

Required Qualifications

• Active TS/SCI security clearance.


• Bachelor's degree in Data Science, AI/ML, Computer Science, or a related field.


• 10+ years of professional experience, preferably in software development or data science.


• 5+ years of experience developing and training AI/ML models.


• Experience leading interdisciplinary teams of researchers and software developers.


• Experience working with program managers to define project scope, schedules, and milestones.


• Experience selecting, evaluating, and improving AI/ML approaches.


• Strong Python programming experience.


• Experience with AI/ML frameworks such as PyTorch, TensorFlow, Keras, PyTorch Lightning, scikit-learn, scikit-image, or OpenCV.


• Experience developing convolutional or transformer-based computer vision models.


• Strong technical communication and documentation skills.


• Ability to prepare and present technical reports to engineering teams and customers.

Desired Qualifications

• MS or PhD in Machine Learning, Computer Science, Computer Vision, Mathematics, or a related field.


• Experience with Self-Supervised Learning (SSL), DINO, knowledge distillation, or BYOL.


• Experience with image segmentation, super resolution, image denoising, image restoration, and Multi-INT fusion.


• Experience with Graph Convolutional Networks (GCNs).


• Experience with SAR, EO, or OPIR image-processing chains.


• Experience with overhead imagery datasets such as xView, SpaceNet, MSTAR, HRSID, DOTA, and similar datasets.


• Familiarity with AWS services such as EC2, S3, and Lambda.


• Experience with code, data, and model version-control processes.


• Experience with Linux.


• Experience with tracking, fusion, and pattern-of-life algorithms.


• Experience with application deployment, virtualization, and containerization.


• Experience supporting proposal development and writing.


• Active TS/SCI clearance with Polygraph.