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Remote Deep Learning Engineer Jobs in Oklahoma (NOW HIRING)

Strayos

$13 - $17.50/hr

... their deep knowledge of machine learning, remote sensing, geoscience, and physics. As an intern ... Engineering, Physics, Computer Science or a related field, within 1 year of completion.

Varsity Tutors

Structural Engineering Tutor

Tulsa, OK · 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 ...

Volt Labs Inc.

Senior QA Engineer

Tulsa, OK · Remote

$115K - $140K/yr

We are a remote-first, high-ownership team operating in a fast-moving growth environment. We care ... The ideal candidate is highly organized, technically deep, process-oriented, and comfortable ...

Volt, Inc

Senior QA Engineer

Tulsa, OK · On-site +1

$115K - $140K/yr

We are a remote-first, high-ownership team operating in a fast-moving growth environment. We care ... The ideal candidate is highly organized, technically deep, process-oriented, and comfortable ...

PNC Bank

Software Engineer Principal

Ponca City, OK · On-site +1

$91K - $202K/yr

Deep understanding of APIs, microservices, event-driven architecture, messaging platforms, and ... This position may be eligible for remote work in select geographic locations, subject to approval ...

Varsity Tutors

Replit Tutor

Tulsa, OK · 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

Oklahoma City, OK · 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

Stillwater, OK · 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 ...

Vero Networks

NOC Engineer - Tier III

Tulsa, OK · On-site +1

$85K - $95K/yr

The ideal candidate is a hands-on problem solver and technical mentor with deep experience in fiber ... This is a Remote position. * The schedule for this position is based on company requirements for ...

ABB

Commercial Proposal Engineer

OK · Remote

A deep understanding of the various products and markets served by the ABB Electrification business ... This is a remote position. #Li-Remote This role is contributing to the Electrification Smart ...

ABB

Commercial Proposal Engineer

Westville, OK · Remote

A deep understanding of the various products and markets served by the ABB Electrification business ... This is a remote position. #Li-Remote This role is contributing to the Electrification Smart ...

ABB

Commercial Proposal Engineer

Bixby, OK · Remote

A deep understanding of the various products and markets served by the ABB Electrification business ... This is a remote position. #Li-Remote This role is contributing to the Electrification Smart ...

SmartLight Analytics

Senior Data Engineer

Tulsa, OK · On-site +1

$96K - $131K/yr

We are seeking a Senior Data Engineer with deep expertise in data warehousing, ETL pipeline ... Strong self-management skills with the ability to work independently in a fully remote environment.

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

Remote Deep Learning Engineer information

See Oklahoma salary details

$10.2K

$77.5K

$129.3K

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

As of Aug 7, 2026, the average yearly pay for remote deep learning engineer in Oklahoma is $77,454.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,500.00 and $128,300.00 per year, depending on experience, location, and employer.

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 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.

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 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 popular job titles related to Remote Deep Learning Engineer jobs in Oklahoma? For Remote Deep Learning Engineer jobs in Oklahoma, the most frequently searched job titles are:
What job categories do people searching Remote Deep Learning Engineer jobs in Oklahoma look for? The top searched job categories for Remote Deep Learning Engineer jobs in Oklahoma are:
What cities in Oklahoma are hiring for Remote Deep Learning Engineer jobs? Cities in Oklahoma with the most Remote Deep Learning Engineer job openings:
Remote Deep Learning Engineer jobs near you
Infographic showing various Remote Deep Learning Engineer job openings in Oklahoma as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $77,454 per year, or $37.2 per hour.

Applied Scientist Internship

Strayos

On-site, Remote

$13 - $17.50/hr

Internship

Re-posted 2 days ago

Job description

If you love using innovative technology to tackle tough science problems and working in a fast-paced, results-oriented team environment, keep reading to learn more about the Strayos Applied Scientist internship opportunity.


Here at Strayos, we use advanced computer vision and machine learning on images and machine sensors data to build insights for Mining, Infrastructure and Construction industry. Our applied science team uses these datasets to better understand our customers critical business operations and how it is changing. We are seeking three exceptional students with experience interpreting and processing imagery to join our applied science team during a three-month internship based at Strayos' headquarters in Buffalo, WNY.


Over the course of this internship, you will work directly with our dynamic team of applied scientists who can share their deep knowledge of machine learning, remote sensing, geoscience, and physics. As an intern, you will learn how to implement novel, cutting-edge remote sensing and machine learning techniques to solve challenging research questions. To efficiently execute your solutions, you will access the Strayos' imagery archive and cloud-computing resources, and receive mentorship from one of our applied scientists. At the end of the internship, you will present your findings to the broader applied science team and learn more about future career opportunities at Strayos.


Responsibilities

  • Leverage our Python-based platform to query, access, and manipulate aerial imagery

  • Utilize machine learning or other classification techniques to analyze aerial imagery

  • Produce clear, concise results (e.g. ML models, statistics) for a project that can be completed during the course of the internship


Requirements

  • Candidates must currently be enrolled in an academic degree program in Geography, Geoscience, Earth Science, Engineering, Physics, Computer Science or a related field, within 1 year of completion.

  • Experience with Python & Numpy

  • Strong problem solving and critical thinking skills

  • Excellent written and verbal communication

  • Ability to work independently


Preferred skills

  • Experience with machine learning and image classification

  • Proficiency with the following Python packages: numpy, scikit-learn, keras

  • Experience working with aerial or satellite imagery and geospatial data.

Employment Type: INTERN

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