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Remote Deep Learning Engineer Jobs in Kansas (NOW HIRING)

Overstory

Working alongside ML engineers, and a product team, you'll define accuracy for our models, design ... Deep expertise in remote sensing and geospatial analysis, including working with satellite imagery ...

Varsity Tutors

Structural Engineering Tutor

Wichita, KS · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of structural analysis methods, reinforced concrete design, steel design, timber ...

Ascend Learning

Manager User Experience

Leawood, KS · On-site +1

$113K/yr

... remote workers in cities across the U.S., Ascend Learning was recognized by Newsweek and Plant-A ... You'll partner closely with product managers, engineers, and senior stakeholders to align design ...

CrowdStrike

CrowdStrike is looking for a Principal Data Engineer with deep expertise in Large Language Models ... Contributions to open-source projects related to data or AI/ML. #LI-DM1 #LI-Remote Benefits of ...

Varsity Tutors

Replit Tutor

Overland Park, KS · Remote

$18 - $40/hr

Deep knowledge of Replit cloud development environment including online IDE features, multi ... Emphasizes accessible development without local setup and connects Replit to learning programming ...

Varsity Tutors

Replit Tutor

Wichita, KS · Remote

$18 - $40/hr

Deep knowledge of Replit cloud development environment including online IDE features, multi ... Emphasizes accessible development without local setup and connects Replit to learning programming ...

Ascend Learning

Senior Technical Product Owner

Leawood, KS · On-site +1

$123K - $162K/yr

... remote workers in cities across the U.S., Ascend Learning was recognized by Newsweek and Plant-A ... Defining and managing platform level features: work closely with engineers to translate business ...

Overstory

$98K - $134K/yr

Deep experience with vulnerability management, including tooling, prioritization, and remediation ... Experience working cross-functionally influencing without authority in a remote-first environment ...

Kiewit Corporation

Principal Water Engineer

Lenexa, KS · On-site +1

... deep expertise in process engineering, treatment optimization for advanced water/wastewater ... We will consider remote options in other locations for uniquely qualified Water Experts. We do ...

StackAdapt

$61K - $79K/yr

StackAdapt is a remote-first company; we are open to candidates located anywhere in Canada and the ... Deep, hands-on experience with API & UI test automation frameworks such as Playwright, Cypress ...

NinjaOne

Enterprise Solutions Engineer

Kansas, KS · On-site +1

$94K - $117K/yr

We are flexible on remote work from home if you are located in the USA and reside in one of the ... Brings deep domain knowledge in enterprise IT operations, RMM, endpoint management, and ITSM ...

Ascend Learning

Manager Test Development

Leawood, KS · On-site +1

... remote workers in cities across the U.S., Ascend Learning was recognized by Newsweek and Plant-A ... Manage the activities of test developers to maximize work effort, deliver products on time, ensure ...

Locatee Ag

Handson cloud experience across AWS, GCP, and/or Azure, with ability to dive deep on architecture ... Flexible Work Environment Whether remote, hybrid, or in-office, we support work arrangements that ...

Locatee AG

Handson cloud experience across AWS, GCP, and/or Azure, with ability to dive deep on architecture ... Flexible Work Environment Whether remote, hybrid, or in-office, we support work arrangements that ...

Auvik Networks

$46.75 - $61.75/hr

You want regular opportunities for learning and growth. With ongoing feedback from leadership, you ... Help expand the depth and breadth of our solution based on your deep knowledge of networking ...

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Showing results 21-40

All JobsDeep Learning Engineer JobsRemote Deep Learning Engineer JobsRemote Deep Learning Engineer Jobs in Kansas

Remote Deep Learning Engineer information

See Kansas salary details

$9.8K

$74.8K

$124.9K

How much do remote deep learning engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for remote deep learning engineer in Kansas is $74,813.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,200.00 and $124,000.00 per year, depending on experience, location, and employer.

What is a remote deep learning engineer?

A Remote Deep Learning Engineer is a professional who works primarily online to design, develop, and implement deep learning models and algorithms. These engineers use neural networks and large datasets to solve complex problems in fields like computer vision, natural language processing, and more. Working remotely, they collaborate with team members via digital tools, write code, optimize models, and often deploy solutions to cloud environments. This role requires strong programming skills, experience with deep learning frameworks (like TensorFlow or PyTorch), and the ability to work independently in a distributed team setting.

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

To thrive as a Remote Deep Learning Engineer, you need a strong background in machine learning, deep learning frameworks, and programming languages like Python, usually supported by a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (e.g., AWS, GCP), and version control systems is typically required, with certifications in AI or cloud technologies being advantageous. Excellent problem-solving, communication, and self-management skills make candidates stand out in remote environments. These skills and qualities are essential for developing effective AI solutions, collaborating across distributed teams, and driving innovation in the fast-evolving field of deep learning.

How do remote deep learning engineers typically collaborate with cross-functional teams despite working remotely?

Remote Deep Learning Engineers frequently collaborate with data scientists, product managers, and software engineers using digital tools such as Slack, Zoom, and collaborative code platforms like GitHub. Regular virtual meetings and sprint planning sessions help ensure alignment on project goals and milestones. Clear documentation and asynchronous communication are crucial for effective teamwork, especially when team members are in different time zones. This collaborative structure enables remote engineers to contribute meaningfully to model development, deployment, and integration while maintaining flexibility.

What is the difference between Remote Deep Learning Engineer vs Remote Machine Learning Engineer?

AspectRemote Deep Learning EngineerRemote Machine Learning Engineer
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with deep learning frameworksBachelor's/Master's in CS, Data Science, or related; experience with ML algorithms
Work EnvironmentResearch and development, model training, neural network designData analysis, model deployment, algorithm development
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, e-commerce

Remote Deep Learning Engineers focus on designing and training neural networks for complex AI tasks, while Remote Machine Learning Engineers work on broader ML models and algorithms. Both roles require strong programming skills and knowledge of machine learning frameworks, but Deep Learning Engineers specialize in neural networks and large-scale data processing.

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

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

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

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

What cities in Kansas are hiring for Remote Deep Learning Engineer jobs?

Cities in Kansas with the most Remote Deep Learning Engineer job openings:

Remote Deep Learning Engineer jobs near you

Staff Data Scientist - Wildfire

Overstory

On-site, Remote

Full-time

Posted 5 days ago

Job description

Role & Team

We are excited to add a Staff Data Scientist, Wildfire to our team. This individual will lead the scientific foundation of our Fuel Detection Model, the core engine that translates satellite and environmental data into an understanding of vegetation structure, fuel loads, and wildfire risk.
Working alongside ML engineers, and a product team, you'll define accuracy for our models, design the research and validation methods that prove it, and ensure our modeling choices are grounded in fire science and remote sensing fundamentals. This is a great opportunity for someone who is energized by open scientific questions with direct real-world stakes, and who wants their research to shape how utilities prevent catastrophic wildfires.

Time Zone Requirement: North America (NST, AST, EST, CST, MST, PST)

What You'll Do
  • Lead research into how vegetation structure, fuel conditions, and wildfire risk can be estimated from satellite, LiDAR, and environmental data across diverse geographies
  • Design rigorous validation and evaluation methodologies, including ground-truth strategies, uncertainty quantification, and error analysis tied to real-world impact
  • Prototype and refine ML modeling approaches, then partner with ML engineers to translate them into production systems
  • Integrate established fire science, such as fuel models and fire behavior frameworks, with data-driven methods
  • Define scientific standards for experimentation, reproducibility, and model interpretability across the modeling organization
  • Communicate research findings clearly to engineers, product teams, customers, and the broader wildfire science community
  • Mentor ML engineers on scientific methodology and domain reasoning
Skills & Experience
  • 8+ years of applied research or data science experience in wildfire science, fire ecology, forestry, remote sensing, atmospheric science, or a related quantitative field
  • Deep expertise in remote sensing and geospatial analysis, including working with satellite imagery and large-scale environmental datasets
  • Strong statistical modeling and machine learning skills in Python, with tools like GeoPandas, scikit-learn, PyTorch, or XGBoost
  • Track record of designing validation studies and evaluation frameworks for environmental or geospatial models
  • Excellent communication skills, with the ability to make complex scientific work legible across technical and non-technical audience
Nice To Have
  • Familiarity with fire behavior or fuels modeling frameworks (e.g., Rothermel-based models, LANDFIRE fuel classifications)
  • Experience integrating physics-based models with ML, or with active learning and uncertainty quantification
  • Peer-reviewed publications in wildfire science, remote sensing, or environmental modeling
  • Familiarity with GCP, Vertex AI, or similar cloud-based platforms
  • Experience in remote-first or globally distributed team

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, co-working 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