Applied AI/ML Engineer (TS/SCI)

Vantor Inc.; Herndon (VA); Presencial; USD 180.000 - 214.000; Tempo integral

Benefícios oferecidos por esta vaga

401(k) with company match

Mental health resources

Student loan repayment assistance

Adoption reimbursement

Pet insurance

Resumo da vaga

Vantor Inc. seeks an experienced AI/ML engineer with a passion for geospatial data to join a multi-disciplinary team. You will design and deploy AI/ML models across diverse data modalities, including RF and EO/SAR imagery, and integrate them into end-to-end workflows for government mission challenges.

You will mentor teams, communicate progress to government clients, and stay at the forefront of AI/ML advances while collaborating across hardware and software stacks. This role requires U.S.

Qualificações

• Requires U.S. citizenship and active TS/SCI clearance with CI polygraph eligibility.
• BS in a quantitative field; strong background in statistics, data science, or computer science.
• 5+ years designing, developing, testing, and deploying AI/ML models across diverse data modalities.
• 2+ years in time series analysis, spatial trajectory analytics, or state estimation.
• Proficiency in Python and at least one major language (Python, TypeScript, Java, C/C++).
• Experience with Python data science/AI stacks and geospatial libraries; exposure to EO/SAR imagery and government data.
• Experience with modern development practices, version control, and CI/CD.
• Strong written and verbal communication with ability to brief government and internal teams.

Responsabilidades

• Architect, develop, and integrate data science and AI/ML solutions including spatio-temporal models and data fusion.
• Collaborate with multi-disciplinary teams to design and evaluate ML solutions using multi-INT data (RF emphasis).
• Transform diverse data modalities to support AI/ML workflows across the stack.
• Design geospatial AI/ML solutions across hardware and software platforms.
• Stay current with AI/ML advances and apply them to government mission challenges.
• Provide SME mentorship and strategic guidance to government and internal teams on AI/ML trends and delivery.
• Communicate progress, results, risks, and challenges to stakeholders.

Conhecimentos

Python

Time series analysis

Geospatial data

Machine learning

Scientific computing

Communication

CI/CD

Formação

B.S. in Statistics, Math, Data Science, CS, Engineering, Physics

Advanced degree (preferred)

Ferramentas

pytorch

tensorflow

numpy

pandas

matplotlib

sklearn

gdal

geopandas

shapely

Descrição da vaga

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. Vantor is a place for problem solvers, changemakers, and go-getters-where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world.

To be eligible for this position, you must be a U.S. Citizen. This position requires an active U.S. Government security clearance, applicants who do not currently hold the required clearance will not be eligible for consideration. Employment for cleared roles is contingent upon verification of clearance status.

Export Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3).

Please review the job details below.

This position requires an active U.S. Government Security Clearance at the TS/SCI level.

Do you have a head for numbers and enjoy being an integral part of solving mission-critical, real-world problems? Do you like working with geospatial intelligence (GEOINT) data? If so, you'll love working with us! Our solutions require innovative approaches that integrate bespoke capabilities and tools to solve our customers most complex challenges. We're seeking an experienced AI/ML engineer to work across the full analytical workflow-from data acquisition and model development to pipeline evaluation, application prototyping, and hardware-based solution implementation.

Responsibilities:

• Architect, develop, and integrate novel data science and AI/ML solutions (e.g., spatio-temporal ML, data fusion, and semantic enrichment)
• Contribute to multi-disciplinary AI/ML engineering teams to design, implement, and evaluate machine learning solutions that leverage multi-INT data (with emphasis on RF)
• Engineer and transform diverse data modalities to support all phases of the AI/ML workflow
• Design, implement, and assess various geospatial AI/ML solutions across hardware and software stacks
• Stay current on AI/ML advancements from industry and academia, applying them to government mission challenges
• Support program execution by providing subject matter expertise, mentorship, 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

Minimum Qualifications:

• Must be a U.S. citizen with an active TS/SCI and the ability to obtain a CI polygraph.
• B.S. in Statistics, Math, Data Science, Computer Science, Engineering, Physics, or related field
• 5+ years experience designing, developing, testing, and deploying AI/ML models, with an emphasis on delivering solutions across diverse data modalities
• 2+ years of experience with time series analysis, spatial trajectory analytics, and/or state estimation
• Strong experience with at least one general purpose programming language (Python, Typescript, Java, C/C++)
• Proficiency with the Python data science and AI/ML stack (e.g., pytorch, tensorflow, numpy, pandas, matplotlib, sklearn) and geospatial libraries (e.g., gdal, geopandas, shapely) or equivalent
• Experience with remote sensing and geospatial datasets, including sensor-based data streams and EO / SAR imagery, 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

Preferred Qualifications:

• Advanced degree in Statistics, Math, Computer Science, Data Science, Engineering, Physics, or a related field
• Experience working with cloud-based platforms (e.g., AWS, Azure)
• Experience with applying multi-modal models and agentic workflows to spatio-temporal data and overhead imagery
• 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

Pay Transparency: In support of pay transparency at Vantor, we disclose salary ranges on all U.S. job postings. 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.

The base pay for this position within California, Colorado, Hawaii, New Jersey, the Washington, DC metropolitan area, and for all other states is:

$180,000.00 - $214,000.00

Benefits:

Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at: https://www.Vantor.com/careers

EEO Policy:

Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.