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Forest Engineer Jobs in Kansas (NOW HIRING)

Role & Team As a Staff Machine Learning Engineer at Overstory, you will lead the development and ... You have a background in wildfire science, forestry, or remote sensing * Strong background in deep ...

... Forest, etc., and key parameters that affect their performance. 3plus years of hands-on experience with Python and/or R programming and statistical packages, and ML libraries such as scikit-learn ...

Machine Learning Tutor

Wichita, KS · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Ability to explain linear regression, decision trees, random forests, support vector machines, and ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Ability to explain linear regression, decision trees, random forests, support vector machines, and ...

Infrastructure Architect Executive

Overland Park, KS · Hybrid

$65.25 - $83.50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... engineering and operations teams. * Lead major incident response and root cause analysis (RCA) for identity-related services. Active Directory Expertise * Forest and domain architecture

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Showing results 1-20

Forest Engineer information

See Kansas salary details

$32.1K

$75.5K

$102.6K

How much do forest engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for forest engineer in Kansas is $75,471.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,500.00 and $101,200.00 per year, depending on experience, location, and employer.

What is a forest engineer?

Forest engineers are professionals who apply engineering principles to the planning, design, construction, and maintenance of forest roads, infrastructure, and equipment. They work to ensure that forest operations are efficient, environmentally sustainable, and safe. Their responsibilities may include designing road systems for logging, developing erosion control measures, and implementing technologies for forest management. Forest engineers often collaborate with foresters, environmental scientists, and government agencies to balance resource extraction with conservation goals.

What does a forest engineer do?

As a forest engineer, your job is to support forestry and land management efforts. In this role, you may support sustainability plans, help determine the best routes for roads or rail systems, and oversee engineering projects that take place in or near forests. Many details of this job depend on the type of engineering work you perform. Forest engineers may work in areas like hydrology, survey crews, regional planners, or even as construction managers. These jobs often require different skills, so where you choose to focus your education and early career can affect your later job choices. Forest engineers usually work near larger forests, which limits this job to areas of the country with a lot of trees.

What are the key skills and qualifications needed to thrive as a forest engineer, and why are they important?

To thrive as a Forest Engineer, you need a solid background in forestry, environmental science, and civil engineering, usually supported by a relevant bachelor's degree. Familiarity with GIS software, forest management systems, and sometimes professional certification like SAF (Society of American Foresters) accreditation is important. Strong analytical skills, problem-solving abilities, and effective communication are essential soft skills for collaborating with diverse stakeholders and addressing complex environmental challenges. These competencies ensure sustainable forest management, regulatory compliance, and the successful execution of forestry projects.

What are some common challenges faced by forest engineers when balancing environmental sustainability with commercial objectives?

Forest Engineers often navigate the challenge of implementing sustainable forestry practices while meeting commercial production goals. This requires careful planning to ensure that harvesting methods protect ecosystems, maintain biodiversity, and comply with environmental regulations, all while optimizing timber yield and minimizing costs. Collaboration with ecologists, government agencies, and logging crews is essential to develop management plans that address both conservation and economic interests. Adapting to evolving environmental standards and new technologies is also a key part of the role.

What is the difference between Forest Engineer vs Forest Technician?

AspectForest EngineerForest Technician
Required CredentialsBachelor's degree in Forest Engineering or related fieldAssociate's degree or technical certification in forestry
Work EnvironmentDesigning and managing forest projects, fieldwork, planningAssisting with data collection, field surveys, supporting forest management
Employer & Industry UsageGovernment agencies, consulting firms, forestry companiesForestry departments, environmental agencies, research institutions

Forest Engineers focus on planning, designing, and managing forest projects, requiring a bachelor's degree. Forest Technicians support fieldwork and data collection, typically with technical certifications. Both roles work in similar environments and industries but differ in education level and responsibilities.

What are popular job titles related to Forest Engineer jobs in Kansas?

For Forest Engineer jobs in Kansas, the most frequently searched job titles are:

What are popular job titles related to Forest Engineer jobs in KS?

For Forest Engineer jobs in KS, the most frequently searched job titles are:

Infographic showing various Forest Engineer job openings in Kansas as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, 1% Temporary, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $75,471 per year, or $36.3 per hour.

Staff Machine Learning Engineer - Wildfire

Overstory

On-site, Remote

Full-time

Re-posted 12 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 
  • You have a background in wildfire science, forestry, or remote sensing
  • 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