Job Description
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. Person defined as a U.S. citizen permanent resident Asylee or Refugee.
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.
Responsibilities
Design develop and deploy AI-driven applications that transform large-scale geospatial data into actionable insights and predictive intelligence.
Build and operate end-to-end AI/ML pipelines including data ingestion preprocessing feature engineering training evaluation and production inference.
Productionize reasoning models vision-language models (VLMs) and multimodal AI systems that combine imagery geospatial signals and structured data.
Architect enterprise-grade training and experimentation frameworks including automated pipelines experiment tracking benchmarking and reproducible evaluation.
Create synthetic datasets and test harnesses to validate model performance robustness and edge-case behavior in real-world operational environments.
Work closely with domain experts software engineers product managers and research partners to translate complex Earth intelligence challenges into deployable AI solutions.
Optimize models and inference systems for scalability latency cost efficiency and reliability on modern cloud infrastructure.
Implement and maintain production inference systems including monitoring model versioning retraining workflows and performance tracking.
Stay current with the latest advances in foundation models generative AI multimodal learning and reasoning systems and translate research breakthroughs into practical systems.
Maintain high engineering standards through code reviews documentation experimentation discipline and collaborative problem solving.
Help shape the next generation of Earth AI capabilities through collaboration with leading research organizations and technology partners.
Minimum Qualifications
MS or PhD in Computer Science Machine Learning Artificial Intelligence Applied Mathematics or a related technical field or equivalent practical experience.
5+ years of experience building and deploying machine learning systems in production environments.
Demonstrated experience designing and delivering end-to-end ML pipelines including data processing training automation evaluation frameworks and scalable inference.
Hands-on experience developing and deploying deep learning models particularly in one or more of the following areas:
Vision-language models (VLMs)
Multimodal learning
Reasoning models
Large language models (LLMs)
Computer vision or geospatial AI
Strong programming skills in Python with experience using modern ML frameworks such as PyTorch TensorFlow or JAX.
Experience building reproducible experimentation pipelines including model evaluation dataset versioning and experiment tracking.
Experience deploying models into production environments using modern cloud infrastructure and containerized systems.
Familiarity with distributed training large-scale data processing and model optimization techniques.
Ability to collaborate across research engineering and product teams to bring advanced AI capabilities into real-world applications.
Preferred Qualifications
Experience working with geospatial data remote sensing satellite imagery or Earth observation systems.
Experience building or fine-tuning foundation models multimodal models or agentic AI systems.
Familiarity with Google Cloud Platform (GCP) including large-scale AI/ML infrastructure.
Experience implementing model monitoring evaluation pipelines and automated retraining systems.
Contributions to open-source AI projects research publications or patents.
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 Colorado is: $124000.00 - $206000.00 annually. ● The base pay for this position within the Washington DC metropolitan area is: $137000.00 - $228000.00 annually.For all other states we use geographic cost of labor as an input to develop market-driven ranges for our roles and as such each location where we hire may have a different range.
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
Additionally this position is incentive eligible with a target based on contribution company performance and/or individual results achieved; the specific incentive plan and target amount will be determined based on the role and breadth of contributions.The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire. If the job is reposted regardless of reason it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire.
The date of posting can be found on Vantor's Career page at the top of each job posting.
To apply submit your application via Vantor's Career page.
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.
Top Skills
What We Do
Vantor is forging the new frontier of spatial intelligence to unlock a more autonomous interoperable world. We empower decision makers and operators with the clarity they need to navigate what’s happening now and shape what’s coming next. Our AI-powered spatial intelligence platform fuses data from the world’s highest-resolution satellites with real-time sensor feeds from space air and ground to create the most accurate living digital replica of Earth.
Why Work With Us
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.
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Date Posted
04/05/2026
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