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Remote Process Engineer Jobs in Kansas (NOW HIRING)

Overstory

Lead the evolution of ML systems, tooling, and processes - ensuring that our wildfire fuelscape ... You have a background in wildfire science, forestry, or remote sensing * Strong background in deep ...

micro1 AI

Senior Database Reliability Engineer

Topeka, KS · Remote

$220K - $260K/yr

Remote Job Summary: Join our team as a Senior Database Reliability Engineer, where you'll play a ... failover processes. • Diagnose and resolve slow queries, locks, deadlocks, and complex ...

micro1 AI

Senior Database Reliability Engineer

Wichita, KS · Remote

$220K - $260K/yr

Remote Job Summary: Join our team as a Senior Database Reliability Engineer, where you'll play a ... failover processes. • Diagnose and resolve slow queries, locks, deadlocks, and complex ...

micro1 AI

Senior Database Reliability Engineer

Olathe, KS · Remote

$220K - $260K/yr

Remote Job Summary: Join our team as a Senior Database Reliability Engineer, where you'll play a ... failover processes. • Diagnose and resolve slow queries, locks, deadlocks, and complex ...

NinjaOne

Staff Software Engineer, Java

Kansas, KS · On-site +1

You will have an opportunity to learn about each team during your initial Recruiter interview or when speaking with a VP of Engineering in the interview process. Location - We are flexible on remote ...

JARBO

Construction Project Engineer

Burley, ID · On-site +1

$95K - $135K/yr

Olathe, Kansas (Remote Options Available) Build a Career Where You Can See the Impact of Your Work ... Create and review process flow diagrams (PFDs), P&IDs, layouts, and conceptual designs * Develop ...

JARBO

Construction Project Engineer

Burley, ID · On-site +1

$95K - $135K/yr

Olathe, Kansas (Remote Options Available) Build a Career Where You Can See the Impact of Your Work ... Create and review process flow diagrams (PFDs), P&IDs, layouts, and conceptual designs * Develop ...

WellSky

Staff Software Engineer

Overland Park, KS · Remote

$2.5K/yr

This is a remote position. Candidates located within 50 miles of WellSky's headquarters in Overland ... Experience with large transactional processing at scale and distributed systems Preferred ...

Ag

Static Stress Engineer (Contract)

Wichita, KS · On-site +1

$52.50 - $72/hr

Identify and support local improvement initiatives to increase team efficiency through process ... Onsite or remote: This position may be able for remote work depending on the needs of the business.

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Remote Process Engineer information

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$44.1K

$82.1K

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How much do remote process engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for remote process engineer in Kansas is $82,066.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,400.00 and $91,900.00 per year, depending on experience, location, and employer.

What is a remote process engineer?

A Remote Process Engineer is responsible for designing, analyzing, and optimizing manufacturing or business processes while working remotely. They use data analysis, simulations, and process improvement techniques to enhance efficiency, reduce costs, and improve quality. This role often involves collaborating with cross-functional teams through virtual communication tools. Industries such as manufacturing, energy, and technology frequently hire remote process engineers to streamline operations. Strong problem-solving, technical expertise, and communication skills are essential for success in this role.

What does a remote process engineer do?

A typical day for a Remote Process Engineer involves analyzing process data, developing optimization strategies, creating technical documentation, and conducting virtual meetings with cross-functional teams such as operations, quality assurance, and project management. Much of the communication is carried out via video conferencing, collaborative project platforms, and email, making it important to be proactive and clear in updates. While working offsite, you'll still be expected to participate in team meetings, report progress, and seek input from on-site staff when needed. This structure enables you to maintain close collaboration and contribute meaningfully to project goals, despite the physical distance.

What are the key skills and qualifications needed to thrive as a remote process engineer?

A Remote Process Engineer needs a strong background in engineering principles, process optimization, and data analysis, typically supported by a degree in chemical, mechanical, or industrial engineering. Familiarity with process simulation software (like Aspen HYSYS or AutoCAD), Six Sigma or Lean certifications, and experience with remote collaboration tools are usually required. Excellent communication skills, problem-solving abilities, and self-motivation are crucial to excel in a remote setting. These skills and qualities are vital to ensure efficient project execution, effective remote collaboration, and continuous improvement of processes in a distributed work environment.

What are the most commonly searched types of Process Engineer jobs in Kansas?

The most popular types of Process Engineer jobs in Kansas are:

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

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

What job categories do people searching Remote Process Engineer jobs in Kansas look for?

The top searched job categories for Remote Process Engineer jobs in Kansas are:

What cities in Kansas are hiring for Remote Process Engineer jobs?

Cities in Kansas with the most Remote Process Engineer job openings:

Remote Process Engineer jobs near you
Infographic showing various Remote Process Engineer job openings in Kansas as of August 2026, with employment types broken down into 90% Full Time, 7% Part Time, and 3% Contract. Highlights an 100% Remote job distribution, with an average salary of $82,066 per year, or $39.5 per hour.

Staff Machine Learning Engineer - Wildfire

On-site, Remote

Overstory
See more jobs at Overstoryexternal

Full-time

Re-posted 6 days ago

Key responsibilities

  • 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.

  • Scale models from research to production with a focus on performance, reliability, and explainability.

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

Apply