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Remote Computer Vision Engineer Jobs in Kansas (NOW HIRING)

Overstory

Role & Team As a Staff Machine Learning Engineer at Overstory, you will lead the development and ... Strong background in deep learning, computer vision, or remote sensing * Skilled in designing end ...

PICTOR LABS INC

$89.70K - $123.20K/yr

Remote US Company: Pictor Labs Employment Type: Full-time Responsibilities * Design, development ... Deep understanding of computer vision model architectures, particularly generative models (GANs ...

Waabi

$158K - $269K/yr

... computer vision, machine learning, or self-driving technology. The US yearly salary range for this role is: $158,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.'s yearly ...

Quora

iOS Engineer -Remote

Pittsburg, KS · Remote

$166.68K - $191.40K/yr

Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers ... For Toronto and Vancouver based applicants, the salary range is $166,675 - $191,397 CAD + equity ...

Quora

iOS Engineer -Remote

Topeka, KS · Remote

$166.68K - $191.40K/yr

Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers ... For Toronto and Vancouver based applicants, the salary range is $166,675 - $191,397 CAD + equity ...

Quora

iOS Engineer -Remote

Wichita, KS · Remote

$166.68K - $191.40K/yr

Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers ... For Toronto and Vancouver based applicants, the salary range is $166,675 - $191,397 CAD + equity ...

Quora

iOS Engineer -Remote

Kansas City, KS · Remote

$166.68K - $191.40K/yr

Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers ... For Toronto and Vancouver based applicants, the salary range is $166,675 - $191,397 CAD + equity ...

Quora

iOS Engineer -Remote

Overland Park, KS · Remote

$166.68K - $191.40K/yr

Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers ... For Toronto and Vancouver based applicants, the salary range is $166,675 - $191,397 CAD + equity ...

NinjaOne

Staff Performance Software Engineer

Kansas, KS · On-site +1

Location - We are flexible on remote working from home, if you are located in the USA and reside in ... Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or equivalent ...

Olsson

Geotechnical Engineer - Remote

Kansas City, KS · On-site +1

As a Remote Geotechnical Engineer, you will perform geotechnical engineering design, project ... vision, dental, paid time off, etc.) and the opportunity to participate in a bonus system that ...

NinjaOne

Data Software Engineer

Kansas, KS · On-site +1

Location - We are flexible on remote working from home, if you are located in the USA and reside in ... Bachelor's degree in Computer Science, Computer Engineering, Information Technology or equivalent ...

Quora

AI Automation Engineer -Remote

Topeka, KS · On-site +1

$202.38K - $234.20K/yr

Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers ... For Toronto and Vancouver based applicants, the salary range is $202,383 - $234,201 CAD + equity ...

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Remote Computer Vision Engineer information

What is a Remote Computer Vision Engineer job?

A Remote Computer Vision Engineer develops and implements computer vision algorithms and machine learning models to analyze and interpret visual data. They work with image and video processing, deep learning frameworks, and cloud-based or edge computing environments. This role involves tasks like object detection, image segmentation, and facial recognition, often using tools like OpenCV, TensorFlow, or PyTorch. Since it is a remote position, strong communication and collaboration skills are essential for working with distributed teams.

What are the key skills and qualifications needed to thrive in the Remote Computer Vision Engineer position, and why are they important?

To excel as a Remote Computer Vision Engineer, you need strong proficiency in image processing, machine learning, and programming languages such as Python or C++, typically supported by a degree in computer science or a related field. Experience with frameworks like OpenCV, TensorFlow, or PyTorch, and familiarity with cloud platforms and version control systems, are highly valuable. Excellent problem-solving skills, self-motivation, and effective remote communication abilities set standout candidates apart. These skills ensure the successful development and deployment of advanced computer vision solutions in a collaborative, distributed work environment.

What are some typical challenges remote computer vision engineers face and how can they address them?

Remote computer vision engineers often encounter challenges such as aligning on project objectives with distributed teams, managing large datasets, and ensuring models perform well in real-world conditions. Effective communication through regular video meetings and clear documentation can help bridge distance-related gaps. Utilizing collaborative tools for code reviews and version control also streamlines teamwork. To overcome technical hurdles, staying updated on the latest frameworks and best practices in computer vision is important. Proactively addressing these challenges leads to more efficient project delivery and professional growth.
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Remote Computer Vision Engineer jobs near you
Infographic showing various Remote Computer Vision Engineer job openings in Kansas as of May 2026, with employment types broken down into 2% As Needed, 61% Full Time, 31% Part Time, 4% Contract, and 2% Nights. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution.

Staff Machine Learning Engineer - Wildfire

Overstory

On-site, Remote

Other

Posted 22 days ago

Job description

Role & Team

As a Staff Machine Learning Engineer at Overstory, you will lead the development and scaling of our Wildfire Fuel Detection Model. This core engine powers how we understand vegetation structure, fuel loads, and wildfire risk from satellite and environmental data. You'll help shape the next generation of Overstory's modeling capabilities by combining cutting-edge ML techniques, large-scale geospatial data, and real-world domain expertise.

Reporting to our VP of Product Engineering, you'll work closely with data scientists, ML engineers, and product teams to ensure our wildfire models are accurate, robust, and production-ready - balancing scientific rigor with practical engineering excellence. As a senior technical leader, you'll mentor other engineers, drive architectural decisions, and define standards for modeling, experimentation, and deployment across Overstory.

Time zone requirement: Eastern North America (NST, AST, EST)

What You'll Do

In collaboration with data, ML, and science colleagues, you will:

  • Architect and build advanced ML models to map and predict vegetation and fuel conditions across diverse geographies.
  • Design and maintain robust data and feature pipelines for large-scale geospatial and temporal data.
  • Partner with wildfire science and product teams to define modeling objectives and evaluation metrics tied to real-world impact.
  • Build reproducible experimentation frameworks and model evaluation workflows.
  • Scale models from research to production with a focus on performance, reliability, and explainability.
  • Lead the evolution of ML systems, tooling, and processes - ensuring that our wildfire fuelscape models remain state-of-the-art and maintainable.
  • Collaborate with MLOps peers to streamline training, inference, and monitoring in production environments.
Skills & Experience
  • Experience thriving at the intersection of machine learning, geospatial data, and environmental science; deeply motivated by the opportunity to reduce wildfire risk through data-driven insights
  • 10+ years of experience designing and building production-grade ML pipelines and systems 
  • Strong background in deep learning, computer vision, or remote sensing
  • Skilled in designing end-to-end ML systems - from data ingestion and preprocessing to deployment and monitoring
  • Hands-on experience with frameworks like PyTorch, TensorFlow, XGBoost, or LightGBM, and data tools like Dask, Spark, or GeoPandas
  • Familiarity with GCP and Vertex AI, or similar cloud-based ML platforms
  • Strong communication skills and ability to collaborate across technical and scientific domains
  • Comfortable leading architectural discussions and mentoring other engineers
Nice To Have
  • Background in wildfire science, forestry, or remote sensing
  • Experience integrating physics-based models with ML or working with active learning and uncertainty quantification
  • Experience in model interpretability and data provenance for environmental ML systems
  • Experience with deep learning models for weather or climate data
  • Experience in remote-first or globally distributed teams

Note: We believe that all people are capable of great things. We encourage you to apply even if you do not meet all of the requirements that are listed within this job description.

What We Offer
  • Competitive, location-specific compensation and benefits 
  • Flexible, autonomous and collaborative working environment rooted in trust - we build our work days around our lives, not the other way around
  • Home office stipend, coworking and ongoing education budgets 
  • A company culture that genuinely embodies each of our core values
  • To be part of truly mission-driven work that reduces wildfires, protects earth's natural resources and helps solve our climate crisis

Apply