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Hourly Remote Machine Learning 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 ...

PICTOR LABS INC

$89K - $123K/yr

Remote US Company: Pictor Labs Employment Type: Full-time Responsibilities * Design, development ... Work with ML Research and Engineering teams to optimize model architectures and deployment ...

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 ...

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

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 ...

Overstory

Our data products - derived from satellite imagery and machine learning - give utilities a clearer ... Experience with remote sensing, satellite imagery, or other earth observation data * SQL or ...

Electric Power Research Institute, Inc.

$98K - $113K/yr

Apply the latest techniques in data analytics, machine learning, and advanced visualization to ... Remote work considered for the right candidate Why EPRI Applications? * Take on senior-level ...

Ascend Learning

Senior Security Engineer

Leawood, KS · On-site +1

$111K - $152K/yr

... remote workers in cities across the U.S., Ascend Learning was recognized by Newsweek and Plant-A ... WHAT YOU'LL DO The Senior Security Engineer, Vulnerability & Threat Management will contribute to ...

Ascend Learning

Senior Security Engineer

Leawood, KS · On-site +1

$111K - $152K/yr

... remote workers in cities across the U.S., Ascend Learning was recognized by Newsweek and Plant-A ... WHAT YOU'LL DO The Senior Security Engineer will contribute to achievement of P&L objectives for ...

Waabi

$158K - $269K/yr

To learn more visit: www.waabi.ai As a Research Engineer in Calibration, you will create the next ... machine learning, or self-driving technology. The US yearly salary range for this role is: $158,000 ...

SolvdUS, Inc

Director of Data Engineering

Lenexa, KS · On-site +1

Support AI and machine learning initiatives through data preparation and feature engineering ... A fully remote work environment with flexibility and autonomy. * The opportunity to grow with a ...

Varsity Tutors

Data Science Tutor

Wichita, KS · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Varsity Tutors

Data Science Tutor

Overland Park, KS · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

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Hourly Remote Machine Learning Engineer information

What are some common challenges faced by hourly remote machine learning engineers, and how can they be addressed?

Hourly remote machine learning engineers often encounter challenges such as managing time effectively across multiple projects, ensuring clear communication with distributed teams, and accessing necessary data or computing resources remotely. Building strong routines for regular check-ins and using collaborative tools can help maintain alignment with project goals. Additionally, proactively clarifying expectations and deliverables with clients or team leads can minimize misunderstandings and improve productivity in a remote, hourly environment.

What does an Hourly Remote Machine Learning Engineer do?

An Hourly Remote Machine Learning Engineer is a professional who develops and implements machine learning models and algorithms for clients or employers on an hourly contract basis, all while working from a remote location. Their responsibilities typically include data preprocessing, model selection, training, testing, and deployment. They collaborate with teams via online tools, manage their own schedules, and deliver results according to project requirements. This role allows for flexibility and the opportunity to work on diverse projects across different industries.

What are the key skills and qualifications needed to thrive as an Hourly Remote Machine Learning Engineer, and why are they important?

To thrive as an Hourly Remote Machine Learning Engineer, you need strong programming skills (especially in Python), a solid understanding of machine learning algorithms, and experience with data preprocessing, typically supported by a relevant degree or equivalent experience. Familiarity with tools and frameworks such as TensorFlow, PyTorch, scikit-learn, cloud platforms (e.g., AWS, GCP), and version control systems like Git is essential. Excellent time management, self-motivation, and clear communication skills help you collaborate effectively across distributed teams and manage project-based work. These skills and qualities are vital for delivering high-quality results independently, meeting deadlines, and adapting to the dynamic needs of remote projects.
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What job categories do people searching Hourly Remote Machine Learning Engineer jobs in Kansas look for? The top searched job categories for Hourly Remote Machine Learning Engineer jobs in Kansas are:
What cities in Kansas are hiring for Hourly Remote Machine Learning Engineer jobs? Cities in Kansas with the most Hourly Remote Machine Learning Engineer job openings:
Hourly Remote Machine Learning Engineer jobs near you

Staff Machine Learning Engineer - Wildfire

Overstory

On-site, Remote

Other

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