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Vantor · 5 hours ago

Senior AI/ML Researcher (TS/SCI)

Westminster, CO

Full-time

Onsite

Senior Level

$124K/yr - $206K/yr

7+ years exp

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what’s happening now and shape what’s coming next. They are seeking an experienced AI/ML researcher to work across the full workflow—from data acquisition and model development to pipeline evaluation, application prototyping, and hardware-based solution implementation.

Software

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Contribute to multi-discipline AI/ML research teams using multi-INT data (with emphasis on GEOINT) to design, implement, and evaluate machine learning solutions

Engineer and transform diverse data types to support all phases of the AI/ML workflow

Architect, develop, and integrate novel AI/ML models (e.g., computer vision, semantic activity detection, geospatial analytics, signal processing)

Design, implement, and assess edge-based AI/ML solutions across hardware and software stacks

Stay current on AI/ML advances from industry and academia, applying them to government mission challenges

Provide subject matter expertise, mentoring, and strategic advice to government and internal teams on AI/ML trends, approaches, and delivery strategies

Communicate progress, results, risks, and challenges to government clients, partners, and project leadership

Support program execution by integrating diverse data science skillsets, managing sprint projections, assessing risks, and occasionally traveling for meetings and demonstrations

Qualification

AI/ML model developmentGEOINT data analysisCloud platforms AWSCloud platforms AzurePython data science stackDeep learning algorithmsLinux environmentsTechnical writingCommunication skillsTeam collaboration

Required

Must be a U.S. citizen with an active TS/SCI and the ability to obtain a CI polygraph

Bachelor's degree in Data Science, Engineering, Math, Physics, Computer Science, Applied Geography, or related field, with 7+ years of experience designing, developing, testing, and deploying AI/ML models across diverse data types

Minimum 2 years of experience with synthetic training data generation, low-shot learning, and robust ML, as well as cloud-based platforms (e.g., AWS, Azure) and AI/ML services (e.g., SageMaker, Watson Studio)

Experience working with remote sensing and GEOINT datasets, including EO, RF, and SAR imagery, and familiarity with government collection platforms

Ability to work effectively with geographically distributed teams and onsite in Herndon, VA or Westminster, CO

Strong communication skills demonstrated through technical writing (e.g., proposals, white papers, academic publications) and speaking engagements (e.g., briefings, conference presentations), with excellent organizational skills and attention to detail

Preferred

Advanced degree (M.S. or Ph.D.) in Data Science, Engineering, Math, Physics, Computer Science, Applied Geography, or a related field

Proficiency with the Python data science stack (e.g., numpy, pandas, matplotlib, sklearn) and geospatial libraries (e.g., gdal, geopandas, shapely)

Experience with deep learning algorithms for image science (e.g., YOLO, SSD, DetectNet) and containerization platforms (e.g., Docker, Kubernetes, OpenShift, Cloud Foundry)

Strong background working in Linux environments and using version control tools such as Git and GitLab

Ability to design and implement compute hardware and infrastructure solutions to support both edge and backend AI/ML applications

Experience with communication hardware and signal processing, including antenna design/implementation, RF signal propagation, and software-defined radios