Algorithm Engineer

Posted 2 Hours Ago
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Westminster, CO, USA
In-Office
102K-150K Annually
Mid level
Aerospace • Artificial Intelligence • Computer Vision • Software • Analytics • Defense • Big Data Analytics
Vantor is forging the new frontier of spatial intelligence to unlock a more autonomous, interoperable world.
The Role
Develop, prototype, and validate image processing and computer vision algorithms for geospatial and photogrammetric applications. Apply mathematical and statistical methods, work with sensor models and large imagery datasets, collaborate with engineering and product teams, and support testing and deployment of AI-enabled workflows.
Summary Generated by Built In

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.

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.Key Responsibilities
  • 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.
Required Qualifications
  • 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.
Preferred Qualifications
  • 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.

Pay Transparency: 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.

● The base pay for this position within Colorado is: $102,000.00 - $136,000.00 - $149,600.00 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.

Skills Required

  • Must be a U.S. Person (U.S. citizen, permanent resident, asylee, or refugee)
  • Bachelor's degree in Computer Science, Computer Engineering, Applied Mathematics, Statistics, Physics, Remote Sensing, Geospatial Sciences, or related field
  • 2-5 years of relevant industry or research experience
  • Experience working with or supporting sensor models
  • Strong statistical background and experience applying statistical methods to engineering problems
  • Strong mathematical foundation and ability to apply quantitative methods
  • 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
  • Excellent analytical, problem-solving, and debugging skills
  • Strong written and verbal communication skills and ability to work on multidisciplinary teams
  • Flexible and able to transition between tasks of varying scope and technical focus
  • Master's degree in relevant 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 with AWS cloud services
  • Experience with Kubernetes and containerized application environments

What the Team is Saying

Ray Van Dolson
Ray Van Dolson
Marlo Wilkey

Vantor Compensation & Benefits Highlights

  • Healthcare Strength Offerings include comprehensive medical plans, mental-health resources, wellness discounts, and access to a Personal Health Advocate. Descriptions emphasize broad healthcare support rather than minimal coverage.
  • Leave & Time Off Breadth Time-off policies are described as generous, with flexible or FTO-style language and strong PTO references. Guidance to verify whether PTO is FTO vs. accrual underscores that substantial time-off exists, even as structures may differ.
  • Parental & Family Support Family-focused benefits include paid parental leave and adoption reimbursement, with additional family-building support referenced in some listings. These offerings position caregiving needs as a supported part of employment.

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The Company
HQ: Westminister, CO
2,500 Employees
Year Founded: 1969

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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Employees engage in a combination of remote and on-site work.

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