Senior Computer Vision AI/ML Engineer (TS/SCI) S}
About The Position
This position is for a Senior Computer Vision AI/ML Engineer. As a CV AI/ML Engineer, you will apply cutting-edge AI/ML-based Computer Vision algorithms to problems in remote sensing, including Automatic Target Recognition (ATR) and Multimodal Data Fusion for Electro-Optical (EO) and Synthetic Aperture RADAR (SAR). You will be responsible for maturing, optimizing, and deploying these algorithms to a cloud-hosted environment. You will also serve as a technical leader and will have the opportunity to guide a team of researchers and developers to see these algorithms from prototype to operations. We offer generous relocation benefits for eligible candidates. In support of work/life balance, many positions are available for a flexible schedule within the pay period. Ask us about the opportunity for flex scheduling if that’s of interest to you.
Requirements
- BS in machine learning, computer science, computer vision, mathematics, or relevant fields
- Experience leading an interdisciplinary team of researchers and software developers and working with a program manager to define project scope and schedule to ensure we meet project milestones as defined by our customers
- Experience selecting a technical AI/ML approach and then iterating/pivoting as needed to enhance performance
- Experience with Python and any of the following Python machine learning frameworks: PyTorch, TensorFlow, Keras, PyTorch Lightning, scikit-learn / scikit-image, and/or OpenCV
- Experience training wither convolutional-based CV models (e.g. YOLOv3-11, YOLOX) or transformer-based CV models (Vision Transformer, Swin, etc.)
- Effective communicator with the ability to write and present technical reports both internally to the engineering team and externally to customers
- 5+ years of experience, preferably in software development or as a data scientist with 3+ years of developing/training AI/ML models
- Active TS/SCI U.S. Government Security Clearance
Nice To Haves
- MS or PhD in machine learning, computer science, computer vision, mathematics, or relevant fields
- Experience with Self-Supervised Learning (SSL) and student-teacher approaches (e.g., DINO, knowledge distillation, BYOL)
- Experience with applying AI/ML algorithms to Image Segmentation, Super Resolution, Image Denoising, Image Restoration, and Multi-INT Fusion
- Experience with Graph Convolutional Networks (GCNs) and applying them to CV-based problems
- Experience working with image processing chains for any of the following domains: SAR, EO, and OPIR
- Experience working with datasets of overhead imagery like xView, SpaceNet datasets, Functional Map of the World, xView3, MSTAR, HRSID, CAESAR, DOTA v1/v2, etc.
- Familiarity with using AWS cloud computing resources such as EC2, S3, Lambda, etc.
- Experience with version control processes and tools for code version control, data version control, and model version control
- Experience with Linux
- Experience with implementing tracking and fusion, and pattern-of-life algorithms
- Experience in application deployment, virtualization, and containerization
- Experience shaping and writing proposals
- Active TS/SCI with a Counter Intelligence (CI) or recent Full-Scope Polygraph (FSP) U.S. Government Security Clearance
Responsibilities
- Leading a small team consisting of developers and researchers to implement AI/ML algorithms to solve computer vision problems in remote sensing
- Analyzing and pre-processing large remote sensing datasets
- Researching supervised and unsupervised ATR solutions for remote sensing
- Researching the performance benefits of multimodal data fusion for ATR, under diverse data collection scenarios
- Training, optimizing, and deploying deep learning CV models that provide analysts with actionable insights
- Reviewing relevant publications to understand cutting edge concepts, break down key ideas to government customers, and apply to defense and commercial applications
- Writing technical documentation supporting code, program capabilities and user-guides
Benefits
- Comprehensive medical/vision/dental insurance packages
- Company contributions to qualified HSA accounts
- 401k retirement plan with industry leading company contributions
- 3 weeks of vacation accrual per year plus time off for sick leave and unscheduled life events
- 13 paid holidays
- Upfront tuition assistance for approved degree programs
- Annual bonus program based on company and employee performance
- Company paid life insurance, AD&D, Short-Term and Long-Term disability insurance
- 4 weeks paid Parental Leave
- Employee assistance program (EAP)
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
