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Remote Machine Learning Software Engineer Jobs in Kansas

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 ...

StackAdapt

StackAdapt is a remote-first company, and we are open to candidates located anywhere in the US or ... Machine Learning Engineers to deploy and integrate algorithms into live systems. * Drive the ...

Varsity Tutors

Machine Learning Tutor

Wichita, KS · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Overland Park, KS · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

NinjaOne

Senior Data Software Engineer

Kansas, KS · On-site +1

$108K - $142K/yr

Location - We are flexible on remote working from home, if you are located in the USA and reside in ... pipelines and machine learning models. o Understanding of Generative AI and Deep Learning ...

PICTOR LABS INC

$89K - $123K/yr

Remote US Company: Pictor Labs Employment Type: Full-time Responsibilities * Design, development ... Strong software engineering practices including version control (Git), CI/CD, unit testing, and ...

Epiq

Software Engineer

Overland Park, KS · On-site +1

We invest in your growth with enterprise-wide learning and mobility. We celebrate who you are, and ... LI-Remote The Compensation range for this role is 110,000 to 160,000 USD annually and may be ...

Wood Plc

Software Development Engineer

Topeka, KS · On-site +1

Experience with Machine Learning, Deep Learning, and/or AI * Experience with data processing ... remote sensing platforms * Understanding of IT protocols, networking, and database management

Epiq

Software Engineer

Kansas City, KS · Remote

We invest in your growth with enterprisewide learning and mobility. We celebrate who you are, and ... LI-Remote The Compensation range for this role is 110,000 to 160,000 USD annually and may be ...

Epiq

Software Engineer

Overland Park, KS · Remote

We invest in your growth with enterprisewide learning and mobility. We celebrate who you are, and ... LI-Remote The Compensation range for this role is 110,000 to 160,000 USD annually and may be ...

Naic

Software Engineer III

Kansas City, KS · On-site +1

$81K - $114K/yr

This is a full-time remote position, in a positive and flexible environment. Residency within 100 ... Interested in learning more about the amazing benefits the NAIC offers? Visit our Benefits page for ...

Finite State

Continuous Learning: Stay ahead of trends in AI-assisted engineering, agentic systems, application ... in a remote, cross-functional team Your 90-Day Success Path * 30 Days: Ship small full-stack ...

NinjaOne

Senior 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 ... We hire the best software engineers, but experience in our stack can't hurt: NinjaOne is built on ...

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 ... We hire the best software engineers, but experience in our stack can't hurt: NinjaOne is built on ...

Finite State

Continuous Learning: Stay ahead of trends in AI-assisted engineering, agentic systems, application ... in a remote, cross-functional team Your 90-Day Success Path * 30 Days: Ship small full-stack ...

NinjaOne

Senior Software Engineer, Java

Kansas, KS · On-site +1

Location - We are flexible on remote working from home, if you are located in the USA and reside in ... We hire the best software engineers with experience in our stack: NinjaOne is built on Java ...

WellSky

Staff Software Engineer

Overland Park, KS · Remote

$2.5K/yr

The Staff Software Engineer is responsible for all stages of the software development lifecycle ... Must be able to sit and view a computer screen for extended periods of time #LI-TC1 #LI-Remote ...

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 ... We hire the best software engineers, but experience in our stack can't hurt: NinjaOne is built on ...

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Remote Machine Learning Software Engineer information

What engineers make $300,000 a year?

Senior machine learning software engineers with extensive experience, advanced skills in deep learning, and proficiency in tools like TensorFlow or PyTorch can earn $300,000 or more annually, especially in high-demand industries or companies. Achieving this salary often requires a strong educational background, specialized certifications, and a track record of successful projects or leadership roles.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and while AI automation tools can handle certain tasks, MLEs are essential for creating complex, customized solutions and maintaining AI systems. The role is expected to evolve with advancements in AI, but human expertise remains critical for innovation and ethical considerations.

What engineer makes $500,000 a year?

Senior machine learning software engineers with extensive experience, specialized skills, and advanced knowledge of AI frameworks can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise in developing complex models and deploying scalable AI solutions.

What is the difference between Remote Machine Learning Software Engineer vs Remote Data Scientist?

AspectRemote Machine Learning Software EngineerRemote Data Scientist
Required CredentialsBachelor's or higher in CS, ML, or related; experience with ML frameworksBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentDeveloping ML models, coding, deploying algorithmsAnalyzing data, building models, interpreting results
Industry UsageTech, finance, healthcare, e-commerceTech, finance, healthcare, research institutions

While both roles involve working with data and algorithms, Remote Machine Learning Software Engineers focus on developing and deploying machine learning models through coding, whereas Remote Data Scientists analyze data to extract insights and build statistical models. Both roles often collaborate but serve different primary functions within organizations.

Can ML engineers work remotely?

Yes, remote work is common for machine learning engineers, especially as many companies adopt flexible work arrangements. ML engineers often collaborate using cloud platforms, version control, and communication tools, making remote work feasible with the right skills and environment.
What are popular job titles related to Remote Machine Learning Software Engineer jobs in Kansas? For Remote Machine Learning Software Engineer jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Software Engineer jobs in Kansas look for? The top searched job categories for Remote Machine Learning Software Engineer jobs in Kansas are:
What cities in Kansas are hiring for Remote Machine Learning Software Engineer jobs? Cities in Kansas with the most Remote Machine Learning Software Engineer job openings:
Remote Machine Learning Software Engineer jobs near you

Staff Machine Learning Engineer - Wildfire

Overstory

On-site, Remote

Other

Re-posted 3 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