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Remote Deep Learning Jobs in Ohio (NOW HIRING)

Blue Star Partners

Workday Training Lead

Columbus, OH · On-site +1

$70 - $80/hr

Candidates must be in Indiana, Kentucky, Maryland, Ohio, Pennsylvania, or Virginia Hybrid/Remote ... The ideal candidate brings strong HRIS training experience, deep understanding of adult learning ...

Moderna

Intern, CMC Development (Summer 2027)

Cleveland, OH · On-site +1

$20 - $60/hr

You will develop a deep understanding of control strategies to ensure manufacturing processes can ... remote work . Here's What You'll Do * Work with a team of highly skilled experts to come up to ...

Moderna

$20 - $60/hr

You will develop a deep understanding of control strategies to ensure manufacturing processes can ... remote work . Here's What You'll Do * Work with a team of highly skilled experts to come up to ...

Moderna

Intern, CMC Development (Summer 2027)

Columbus, OH · On-site +1

$20 - $60/hr

You will develop a deep understanding of control strategies to ensure manufacturing processes can ... remote work . Here's What You'll Do * Work with a team of highly skilled experts to come up to ...

Moderna

$20 - $60/hr

You will develop a deep understanding of control strategies to ensure manufacturing processes can ... remote work . Here's What You'll Do * Work with a team of highly skilled experts to come up to ...

Moderna

$20 - $60/hr

You will develop a deep understanding of control strategies to ensure manufacturing processes can ... remote work . Here's What You'll Do * Work with a team of highly skilled experts to come up to ...

Moderna

$20 - $60/hr

You will develop a deep understanding of control strategies to ensure manufacturing processes can ... remote work . Here's What You'll Do * Work with a team of highly skilled experts to come up to ...

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All JobsDeep Learning JobsRemote Deep Learning JobsRemote Deep Learning Jobs in Ohio

Remote Deep Learning information

What is a remote deep learning engineer?

A Remote Deep Learning job involves working with artificial intelligence and machine learning models, particularly using deep neural networks, from a location outside a traditional office, often from home. Professionals in this field design, build, and optimize algorithms that enable computers to learn from large amounts of data. They often work on projects such as image and speech recognition, natural language processing, or autonomous systems. The remote aspect allows flexibility and access to global opportunities, but requires strong communication skills and the ability to collaborate virtually with teams.

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

To thrive as a Remote Deep Learning Engineer, you need strong programming skills in Python, a deep understanding of machine learning algorithms, and typically a degree in computer science, engineering, or a related field. Proficiency with frameworks like TensorFlow or PyTorch, as well as cloud computing platforms such as AWS or Google Cloud, is essential, and certifications in these technologies can be advantageous. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for remote collaboration and project delivery. These skills ensure effective development, deployment, and maintenance of deep learning models while working independently in distributed teams.

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

Remote deep learning engineers often encounter challenges such as limited access to high-performance computing resources, communication barriers with distributed teams, and difficulties in collaborating on large codebases or datasets. These issues can be mitigated by leveraging cloud-based platforms for scalable computing, using clear communication tools like Slack or Zoom for regular check-ins, and employing version control systems like Git for collaborative code management. Proactively setting up workflows and documentation helps ensure smooth collaboration and project continuity within a remote environment.

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

AspectRemote Deep LearningRemote Machine Learning Engineer
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with neural networksBachelor's/Master's in CS, Data Science, or related; experience with algorithms and data modeling
Work EnvironmentCollaborative teams, research-focused, often in tech or AI companiesDevelopment teams, data-driven projects, across various industries
Employer & Industry UsageTech firms, AI startups, research institutionsTech companies, finance, healthcare, e-commerce

Remote Deep Learning specialists focus on designing and training neural networks for AI applications, often requiring advanced knowledge of deep neural architectures. Remote Machine Learning Engineers work on developing algorithms and models for broader data analysis and predictive tasks. While both roles involve machine learning, deep learning emphasizes neural networks, whereas machine learning engineers may work with a variety of algorithms across industries.

What are the most commonly searched types of Deep Learning jobs in Ohio?

The most popular types of Deep Learning jobs in Ohio are:

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

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

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

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

What cities in Ohio are hiring for Remote Deep Learning jobs?

Cities in Ohio with the most Remote Deep Learning job openings:

Remote Deep Learning jobs near you
Infographic showing various Remote Deep Learning job openings in Ohio as of September 2026, with employment types broken down into 69% Full Time, 11% Part Time, and 20% Contract. Highlights an 100% Remote job distribution.

Applied AI Engineer Co-op - Spring 2027 (January Start)

Evendale, OH • Remote

General Electric Company
See more jobs at General Electric Companyexternal

$20/hr

Full-time

Posted 9 days ago

Job description

Job Description SummaryAt GE Aerospace, our AI engineers don't just support projects - they help drive them. From day one, interns and co-ops take on real-world challenges, owning work from start to finish and building solutions that connect data, tools, cloud, AI, and engineering to advance the future of flight.
As an intern, you'll build expertise in cloud platforms, databases, data engineering, web design, Al technologies, and numerical methods to solve real-world engineering problems. Through hands-on projects, you'll work with the Innovator Method, Game Theory, and DecisionIQ, turning customer insights into impactful solutions. You'll have the opportunity to learn, contribute, and bring real business value and help shape the future of aerospace design.Job Description

What You will Do

  • Develop technical solutions for engineers to evaluate and adopt data and AI solutions.

  • Consult on architecture, implement proof of concepts and deliver solutions for business strategic projects, including data science and machine learning systems.

  • Build and present product architectures, write technical code, and demo applications to stakeholders.

  • Gain hands-on experience with the Innovator Method, Game Theory, and DecisionIQ and turn customer insights into solution that deliver real business value.

  • Sharpen your skills in cloud platforms, databases, data engineering, web design, AI technologies, and numerical methods.

  • Use your strengths to support team members and build cross-functional relationships across the company.

  • Work to ship solutions to production that meet business needs and drive impact.

Our culture thrives on innovation, diversity, and deep collaboration. You'll contribute as both a learner and a builder, helping us push the design frontier in aerospace.

Qualifications

  • Currently enrolled in a Bachelor's degree program in Computer Science, Aerospace Engineering, Mechanical Engineering; or a related field at an accredited university or credentialed software accelerator program.

  • Minimum 3.7 cumulative GPA off a 4.0 scale without rounding

No prior work experience is required.

Desired Characteristics

  • Strong academic performance in Computer Science or other STEM disciplines

  • Experience designing AI solutions and architecting distributed data systems

  • Proficiency in programming and debugging with Python, C#, C++, and SQL

  • Customer-centric mindset with ability to lead design thinking workshops

  • Hands-on experience in at least one of the following areas: Machine Learning, Large Language Models (LLMs), or Computer Vision

  • Experience building solutions using public cloud platforms such as AWS or Azure

  • AWS and/or Azure certification

About The Internship

  • Location: Remote

  • Pay rates for this position begin at $20/hour and increase for each undergraduate year completed. Relocation support and housing assistance is available for those who relocate to a new city.

  • Travel Opportunities

  • Real-world project ownership

  • Mentorship from experienced engineers

  • Opportunity for return offers

Equal Opportunity Employer

GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. GE Aerospace is anEqual Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

#LI-Remote - This is a remote position

Additional Information

GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. GE Aerospace is anEqual Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

GE Aerospace will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Employees may also be subject to random and reasonable-suspicion drug and alcohol testing.


Relocation Assistance Provided: No

#LI-Remote - This is a remote position

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