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Applied Geospatial ML Engineer
Vantor
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Remote Full time New
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ORIGINAL JOB LISTING

Applied Geospatial ML Engineer

Vantor
Herndon, us
Remote
Full Time
New
$185k - $228k/year
Apply Now

This job is currently accepting applications. Review the details and apply today.

About this role

Must have:

Responsibilities

  • We work across multidisciplinary AI/ML teams using multi-INT data, especially GEOINT, to design, build, and evaluate machine learning solutions. - We engineer and convert diverse data formats to support each stage of the AI/ML lifecycle. - We develop, integrate, and refine innovative AI/ML models, including semantic activity detection, geospatial analytics, signal processing, and computer vision. - We design, implement, and evaluate geospatial AI/ML solutions across both hardware and software environments. - We stay current with advances in AI/ML from industry and academia and apply those insights to government mission needs. - We provide technical expertise, mentoring, and strategic guidance to government and internal stakeholders on AI/ML trends, delivery approaches, and implementation strategy. - We communicate progress, outcomes, risks, and obstacles clearly to government customers, partners, and project leadership. - We support program execution by bringing together data science capabilities, managing sprint forecasts, evaluating risk, and traveling occasionally for meetings and demonstrations

Required Skills & Experience

  • Must have
  • We require U.S. citizenship and an active TS/SCI security clearance, with the ability to obtain a CI polygraph. - We need a bachelors degree in Data Science, Engineering, Math, Physics, Computer Science, or a closely related discipline. - We seek at least 5 years of experience designing, developing, testing, and deploying AI/ML models across varied data sources. - We require a minimum of 2 years working with low-shot learning, robust machine learning, spatial trajectory analytics, and cloud platforms such as AWS or Azure, including services like SageMaker or Watson Studio. - We look for hands-on experience with remote sensing and geospatial datasets, including EO/SAR imagery, sensor-driven data feeds, and familiarity with government collection systems. - We expect experience with modern engineering workflows, including version control and CI/CD practices. - We need strong communication skills demonstrated through technical writing, briefings, or conference presentations, along with excellent organization and sharp attention to detail. - We require proficiency working in
  • Linux environments. - Preferred: an advanced degree such as an M.S. or Ph.D. in a relevant field. - Preferred: strong command of the
  • Python data science ecosystem, including numpy, pandas, matplotlib, sklearn, and geospatial tools such as gdal, geopandas, and shapely or equivalent. - Preferred: experience building and implementing geospatial trajectory processing, analysis, forecasting, and visualization methods. - Preferred: ability to design compute hardware and infrastructure solutions that support client-facing and backend AI/ML applications

Benefits

  • package with a base salary range of $185,000 to $228,000 depending on experience, location, and
  • along with
  • such as a 401(k) with company match, mental health resources, student loan repayment assistance, adoption reimbursement, and pet insurance.
  • We are committed to an inclusive workplace where all qualified applicants receive equal consideration

Environment

About this job Requirements Job overview Must have: What you'll do We work across multidisciplinary AI/ML teams using multi-INT data, especially GEOINT, to design, build, and evaluate machine learning solutions

- We design, implement, and evaluate geospatial AI/ML solutions across both hardware and software environments

- We look for hands-on experience with remote sensing and geospatial datasets, including EO/SAR imagery, sensor-driven data feeds, and familiarity with government collection systems

- We require proficiency working in Linux environments

We are committed to an inclusive workplace where all qualified applicants receive equal consideration

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