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: $124,000.00 - $206,000.00 annually. ● The base pay for this position within the Washington, DC metropolitan area is: $137,000.00 - $228,000.00 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
Similar Jobs at Vantor
What you need to know about the Los Angeles Tech Scene
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
