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Deep Learning Jobs in Cleveland, OH (NOW HIRING)

Qnity

Senior Data Scientist

Cleveland, OH · Hybrid

A strong candidate will have expertise in data science techniques such as data cleaning, statistical modeling, machine learning, deep learning, computer vision, generative AI, and large language ...

Flexjet

AI Engineer

Cleveland, OH · On-site

DUTIES & RESPONSIBILITIES · Design and develop machine learning and deep learning models for real-world applications · Build, test, and deploy AI/ML pipelines in production environments · ...

Flexjet

AI Engineer

Cleveland, OH · On-site

Responsibilities : • Design and develop machine learning and deep learning models for real-world applications • Build, test, and deploy AI/ML pipelines in production environments • Collaborate ...

Crowe LLP

Machine Learning Intern

Cleveland, OH

$27 - $42/hr

Anomaly detection using deep neural networks Numerical optimization applied to problems in manufacturing Personal identifiable information (PII) and personal health information (PHI) detection in ...

Munich Re

Actuarial Data Scientist (FCAS)

Cleveland, OH · On-site +1

Deep understanding of GLMs and GBMs. * Familiarity with AI and machine learning concepts, including supervised and unsupervised learning, deep learning, and natural language processing. * Experience ...

Munich RE

Actuarial Data Scientist (FCAS)

Cleveland, OH · On-site

Deep understanding of GLMs and GBMs. * Familiarity with AI and machine learning concepts, including supervised and unsupervised learning, deep learning, and natural language processing. * Experience ...

SCATR Corp.

Artificial Intelligence Engineer

Cleveland, OH · On-site

$111K - $133K/yr

Strong understanding of machine learning algorithms, neural networks, and deep learning * Proficiency in programming languages such as Python, R, C++, or Java * Experience with machine learning ...

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All JobsDeep Learning JobsDeep Learning Jobs in Cleveland, OH

Deep Learning information

See Cleveland, OH salary details

$10.7K

$81.4K

$135.8K

How much do deep learning jobs pay per year?

As of Sep 4, 2026, the average yearly pay for deep learning in Cleveland, OH is $81,355.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,800.00 and $134,800.00 per year, depending on experience, location, and employer.

What is a deep learning job?

A Deep Learning job involves designing, developing, and optimizing neural networks to solve complex problems such as image recognition, natural language processing, and autonomous systems. Professionals in this field work with large datasets, neural network architectures, and frameworks like TensorFlow or PyTorch. They collaborate with data scientists, engineers, and researchers to improve model accuracy and efficiency. Deep Learning roles typically require strong programming skills in Python, knowledge of machine learning algorithms, and experience with GPU acceleration.

What are the typical daily responsibilities of a deep learning professional?

As a Deep Learning professional, your day-to-day tasks often include designing and training neural network models, preprocessing and analyzing large datasets, and evaluating model performance using various metrics. You may also participate in research activities, document your results, and collaborate with data scientists, engineers, or product teams to deploy machine learning solutions. Regular meetings for project updates, code reviews, and brainstorming sessions are common, as is staying updated on advances in the field. This dynamic environment offers both individual and team-based work, providing continuous learning and the opportunity to solve complex, real-world problems.

What are the key skills and qualifications needed to thrive in a deep learning position?

To thrive in Deep Learning, you need a solid understanding of machine learning theory, neural networks, mathematics (especially linear algebra and probability), and programming skills, typically backed by a degree in computer science, mathematics, or a related field. Familiarity with frameworks such as TensorFlow or PyTorch, experience with data preprocessing, and optionally industry-recognized certifications are advantageous. Strong analytical thinking, problem-solving skills, and the ability to communicate findings clearly are crucial soft skills. These abilities enable the design, implementation, and optimization of effective deep learning solutions in real-world applications.

What jobs use deep learning?

Jobs that use deep learning include roles such as machine learning engineer, data scientist, AI researcher, and computer vision engineer. These positions typically require skills in programming languages like Python, experience with deep learning frameworks such as TensorFlow or PyTorch, and knowledge of neural network architectures. They are common in industries like technology, healthcare, automotive, and finance, often involving tasks like image recognition, natural language processing, and predictive modeling.

What are the most commonly searched types of Deep Learning jobs in Cleveland, OH?

The most popular types of Deep Learning jobs in Cleveland, OH are:

What are popular job titles related to Deep Learning jobs in Cleveland, OH?

For Deep Learning jobs in Cleveland, OH, the most frequently searched job titles are:

What job categories do people searching Deep Learning jobs in Cleveland, OH look for?

The top searched job categories for Deep Learning jobs in Cleveland, OH are:

What cities near Cleveland, OH are hiring for Deep Learning jobs?

Cities near Cleveland, OH with the most Deep Learning job openings:

Deep Learning jobs near you
Infographic showing various Deep Learning job openings in Cleveland, OH as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, and 3% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $81,355 per year, or $39.1 per hour.

Senior Data Scientist

Qnity

Cleveland, OH • Hybrid

Full-time

Posted 7 days ago

Key responsibilities

  • Collaborate with scientists within Qnity to support research and development projects involving AI and advanced electronics.

  • Develop, validate, and deploy AI/ML solutions, including data cleaning, statistical modeling, machine learning, deep learning, and computer vision techniques.

  • Create visualizations and reports to communicate technical concepts and results to stakeholders.

Job description

Are you looking to power the next leap in the exciting world of advanced electronics? Do you want to help solve problems that drive success in the rapidly evolving technology and connectivity landscape? Then bring your problem-solving, passion, and creativity to help us power the next leap in electronics.

At Qnity, we're more than a global leader in materials and solutions for advanced electronics and high-tech industries - we're a tight-knit team that is motivated by new possibilities, and always up for a challenge. All our dedicated teams contribute to making cutting-edge technology possible. We value forward-thinking challengers, boundary-pushers, and diverse perspectives across all our departments, because we know we play a critical role in the world enabling faster progress for all. Learn how you can start or jumpstart your career with us.

Job Description: Senior Data Scientist

Qnity Electronics is accepting applications for a position as a Data Scientist. This position will be at Qnity's Cleveland site, Ohio USA. This is an exciting opportunity to join a growing team that plays a vital and dynamic role in the company's R&D department.

Qnity Electronics is a premier technology provider across the semiconductor value chain, empowering AI, high performance computing, and advanced connectivity.In this role, the Data Scientist will collaborate with scientists within Qnity, who are engaged in a variety of research and development projects.

A strong candidate will have expertise in data science techniques such as data cleaning, statistical modeling, machine learning, deep learning, computer vision, generative AI, and large language models (LLMs). The applicant should demonstrate strong coding proficiency in Python or R, with the ability to prepare and analyze complex datasets, develop predictive and prescriptive models, build ML/DL pipelines, create compelling visualizations and reports, and evaluate advanced AI models including transformer-based architectures and multimodal systems. Beyond technical expertise, the role requires a highly organized problem solver who can apply structured analytical thinking to complex scientific and business challenges, effectively communicate technical concepts and results to stakeholders, and collaborate closely with R&D, data engineering, and domain experts to develop, deploy, and scale AI-driven solutions.

Required Skills & Education

  • PhD or MS + 3 years of experience in Data Science, Materials Science, Chemistry, Engineering, or a related technical field.

  • Strong programming skills in Python, including data preparation, statistical analysis, feature engineering, model development, evaluation, and visualization.

  • Demonstrated expertise in statistical modeling, machine learning, and deep learning across regression, predictive modeling, experimental design, hypothesis testing, supervised and unsupervised learning, classification, clustering, neural networks, and transformer-based architectures.

  • Strong hands-on experience with Computer Vision, including image classification, object detection, segmentation, anomaly detection, and image-based predictive modeling.

  • Experience with Generative AI and Large Language Models (LLMs), with expertise in prompt engineering, Retrieval-Augmented Generation (RAG), AI agents/copilots, and knowledge extraction applications.

  • Hands-on experience developing, validating, and deploying AI/ML solutions to solve scientific, engineering, or business problems.

  • Experience with modern AI frameworks such as PyTorch, TensorFlow, Scikit-learn, OpenCV, YOLO, or equivalent technologies.

Pluses

  • Experience with Microsoft Azure or other cloud-based AI/ML platforms, including MLOps and model deployment.

  • Experience with SQL, MongoDB, data pipelines, and data engineering workflows.

  • Excellent communication and interpersonal skills, with the ability to explain complex technical concepts to both technical and non-technical audiences, influence stakeholders, collaborate across multidisciplinary teams, and present analytical findings to leadership and internal clients.

** Work Arrangement:

This position is expected to begin as a fully onsite role to support onboarding, training, and immersion in our culture, people, facilities, processes, and technologies. After successfully learning the role and establishing strong working relationships across the organization, the position may become eligible for a hybrid work arrangement, typically consisting of one remote workday per week, with the potential for up to two remote workdays per week, subject to business needs, job responsibilities, performance, and manager approval. This is not a guarantee.

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Qnity is an equal opportunity employer. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability or any other protected class. If you need a reasonable accommodation to search or apply for a position, please visit ourAccessibility Page for Contact Information.

Qnity offers a comprehensive pay and benefits package. To learn more visit the Compensation and Benefits page.

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