Algorithm Engineer

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 work 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—a U.S. citizen, permanent resident, asylee, or refugee. 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).

Vantor is seeking an Algorithm Engineer to help develop next‑generation solutions in computer vision, geospatial analytics, and photogrammetry. This role requires a strong mathematical and statistical foundation, sensor‑model expertise, and experience developing image‑processing algorithms. The ideal candidate will contribute to solving challenging problems involving imagery, spatial data, sensor modeling, and AI‑enabled workflows while collaborating with multidisciplinary engineering teams.

• Design, develop, and optimize image‑processing algorithms.
• Apply mathematical and statistical techniques to solve engineering problems.
• Research, prototype, and implement solutions leveraging machine learning and computer vision technologies.
• Collaborate with software engineers, geospatial specialists, and product teams to develop scalable solutions.
• Analyze large datasets and imagery to improve system accuracy and performance.
• Participate in system design, code reviews, and technical discussions.
• Contribute to the development and refinement of AI‑enabled workflows and engineering practices.
• Support the validation and testing of algorithms to ensure accuracy, robustness, and performance.

• Bachelor’s degree in Computer Science, Computer Engineering, Applied Mathematics, Statistics, Physics, Remote Sensing, Geospatial Sciences, or a related technical field.
• 2–5 years of relevant industry or research experience.
• Experience working with or supporting sensor models.
• Strong statistical background, including experience applying statistical methods to engineering problems.
• Strong mathematical foundation with the ability to apply quantitative methods to technical challenges.
• Experience designing, implementing, and validating algorithms.
• Experience with multivariable and physical statistical models.
• Familiarity with AI‑assisted software development tools and AI agents used in engineering workflows.
• Flexible and willing to transition easily between tasks that may vary in scope and technical focus.
• Excellent analytical, problem‑solving, and debugging skills.
• Strong written and verbal communication skills with the ability to work effectively on multidisciplinary teams.

• Master’s degree in Computer Science, Computer Engineering, Statistics, Applied Mathematics, Physics, Remote Sensing, Geospatial Sciences, or a related technical field.
• Experience with geospatial, photogrammetric, or remote‑sensing applications.
• Experience with machine learning frameworks and modern AI technologies.
• Experience transitioning research concepts into production software systems.
• Experience working with AWS cloud services.
• Experience with Kubernetes and containerized application environments.

To support pay transparency, Vantor includes salary ranges in all U.S. job postings. Starting pay for this role will fall within the listed range and will be based on factors such as experience, qualifications, skills, location, and market conditions. Candidates who meet the minimum requirements for the role should not expect to receive compensation at the top of the range. The listed range reflects the expected pay for this position, and final offers will be determined based on each candidate’s experience, expertise, and alignment with the role.

• Base pay for Colorado: $ – $ – $ annually.

For all other states, we use geographic cost of labor as an input to develop market‑driven ranges for our roles, and…