Applied Geospatial ML Engineer

About the role

Vantor is seeking an experienced AI/ML engineer to contribute to multi-discipline teams, design, implement, and evaluate machine learning solutions, and architect novel AI/ML models across diverse data types.

Responsibilities

• Contribute to multi-discipline AI/ML engineering teams using multi-INT data (with emphasis on GEOINT)
• 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., semantic activity detection, geospatial analytics, signal processing, and computer vision)
• Design, implement, and assess various geospatial AI/ML solutions across hardware and software stacks
• Stay current on AI/ML advances from industry and academia, applying them to government mission challenges
• 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

Requirements

• Must be a U.S. citizen with an active TS/SCI and the ability to obtain a CI polygraph
• B.S. in Data Science, Engineering, Math, Physics, Computer Science, or related field
• 5+ years designing, developing, testing, and deploying AI/ML models across diverse data types
• Minimum 2 years of experience with low-shot learning, robust ML, spatial trajectory analytics, and cloud-based platforms (e.g., AWS, Azure)
• Experience working with remote sensing and geospatial datasets, including EO/SAR imagery, sensor-based data streams and familiarity with government collection platforms
• Experience with modern development practices, including version control, and CI/CD
• Strong communication skills demonstrated through technical writing and speaking engagements (e.g., briefings, conference presentations), with excellent organizational skills and attention to detail
• Competence with Linux environments

Qualifications

• Advanced degree (M.S. or Ph.D.) in Data Science, Engineering, Math, Physics, Computer Science, 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) or equivalent
• Experience with designing and implementing a wide variety of geospatial trajectory processing, analysis (e.g., forecasting), and visualization approaches
• Ability to design and implement compute hardware and infrastructure solutions to support both client and backend AI/ML applications

Skills

• Strong problem-solving skills
• Excellent communication and collaboration abilities
• Knowledge of AI/ML frameworks and libraries
• Experience with geospatial data processing and analysis

Benefits

Vantor offers a competitive total rewards package that includes:

• A robust 401(k) with company match
• Mental health resources
• Student loan repayment assistance
• Pet insurance
• Adoption reimbursement

For more information on our benefits, visit: https://www.Vantor.com/careers

Pay Transparency

The successful candidate’s starting pay will fall within the salary range provided below and is determined based on job-related factors, including, but not limited to, the experience, qualifications, knowledge, skills, geographic work location, and market conditions. Candidates with the minimum necessary experience, qualifications, knowledge, and skillsets for the position should not expect to receive the upper end of the pay range.

Base Pay For This Position Within California, Colorado, Hawaii, New Jersey, The Washington, DC Metropolitan Area, And For All Other States Is $185,000.00 - $228,000.00

Contact Information

To apply, submit your application via Vantor's Career page.