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Pytorch Developer Jobs in Cleveland, OH (NOW HIRING)

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Pytorch Developer information

What are the key skills and qualifications needed to thrive as a Pytorch Developer, and why are they important?

To thrive as a Pytorch Developer, you need strong programming skills in Python, a solid grasp of machine learning concepts, and experience with deep learning frameworks—especially PyTorch itself. Familiarity with tools like CUDA, Jupyter Notebooks, and version control systems (e.g., Git) is typically expected, along with knowledge of cloud platforms or relevant certifications. Problem-solving ability, effective collaboration, and clear communication are crucial soft skills for success in this role. These skills and qualities are vital for efficiently building, optimizing, and deploying machine learning models in real-world applications.

What are some common challenges Pytorch Developers face when deploying machine learning models to production environments?

Pytorch Developers often encounter challenges when transitioning models from research to production, such as optimizing model performance for inference speed and memory usage, ensuring compatibility with deployment frameworks like TorchScript or ONNX, and managing dependencies across different systems. Additionally, integrating PyTorch models into existing software stacks and maintaining reproducibility can be complex. Collaborating closely with DevOps and data engineering teams is crucial to address these issues and ensure smooth deployment.

What is a PyTorch Developer?

A PyTorch Developer is a software engineer or data scientist who specializes in using PyTorch, an open-source machine learning library, to build and deploy deep learning models. Their responsibilities typically include designing neural network architectures, training and evaluating models, and optimizing code for performance. PyTorch Developers work in fields such as artificial intelligence, computer vision, and natural language processing, collaborating with teams to solve complex problems using machine learning. They are proficient in Python and have a strong understanding of deep learning concepts. Additionally, they often contribute to research, development, and the deployment of AI solutions in production environments.

What is the difference between Pytorch Developer vs Machine Learning Engineer?

AspectPytorch DeveloperMachine Learning Engineer
Required CredentialsBachelor's or higher in CS, experience with PyTorchBachelor's or higher in CS, data science, or related field, with ML experience
Work EnvironmentResearch labs, AI startups, tech companies focusing on deep learningTech companies, finance, healthcare, often involving deployment and scaling ML models
Industry UsagePrimarily in AI research and development teamsAcross industries implementing ML solutions in production

While both roles require knowledge of machine learning and experience with PyTorch, a Pytorch Developer mainly focuses on developing and optimizing deep learning models using PyTorch. A Machine Learning Engineer often has a broader scope, including deploying, maintaining, and scaling ML models across various platforms and industries.

What cities near Cleveland, OH are hiring for Pytorch Developer jobs? Cities near Cleveland, OH with the most Pytorch Developer job openings:
Infographic showing various Pytorch Developer job openings in Cleveland, OH as of May 2026, with employment types broken down into 100% Full Time. Highlights an 86% In-person, and 14% Hybrid job distribution.
Research Scientist-Computed Tomography

Research Scientist-Computed Tomography

Philips

Orange, OH

$114.75K - $183.60K/yr

Full-time

Retirement, PTO

Posted 10 hours ago


Philips rating

8.0

Company rating: 8.0 out of 10

Based on 68 frontline employees who took The Breakroom Quiz

45th of 137 rated electronics manufacturers


Job description

Job TitleResearch Scientist-Computed TomographyJob Description

As an important member of the Computed Tomography (CT) Imaging Physics and Algorithm team, the Research Scientist will develop innovative physics-based solutions/corrections and support medical imaging platform needs by leading image quality improvements in Computed Tomography (CT).

Your role:

  • Uses a system-level engineering approach to develop new medical imaging systems features, optimizing image quality through algorithm design, calibration improvements, and image reconstruction enhancements with a strong emphasis on imaging performance. Drives the successful introduction of new products by creating technical specifications and improving data correction processes.
  • Investigates image quality issues during new feature launches and within the installed product base, identifying root causes and communicating findings to stakeholders. Develops and documents safe, effective solutions to ensure product quality and customer satisfaction.
  • Contributes to the enhancement and maintenance of R&D tools for data simulation and image formation, supporting innovation in Computed Tomography Physics and imaging workflows. Establishes processing benchmarks, defines dataflow requirements, and documents software requirements to support product development.
  • Maintains deep expertise in CT physics processing algorithms, evaluating the downstream impact of changes across the entire image processing chain. Ensures cross-functional alignment when modifications in one processing area affect other components of the imaging pipeline.
  • Drives innovation by developing and owning the CT Imaging Platform physics roadmap, aligning emerging technologies with business strategy. Stays current on software advancements, theoretical concepts, and clinical imaging applications to shape future processing capabilities and continuous improvement initiatives.

You're the right fit if:

  • A Minimum of 3 years of combined professional and graduate-level research experience in Physics or Medical Imaging, with experience in Computed Tomography and/or X-ray imaging preferred. Advanced academic preparation in physics, engineering, or related technical disciplines is highly desired.
  • Ph.D. in Physics, Mathematics, Biomedical Engineering, Electrical Engineering, Nuclear Engineering, or a related field preferred, with strong knowledge of medical image formation and reconstruction theory. Ability to apply advanced theoretical concepts to practical imaging applications and next-generation technology development.
  • Proficiency in image and signal processing within the MATLAB environment, including GUI development and C-MEX functionality, with programming experience in Python and C++ preferred. Demonstrated ability to develop and optimize technical solutions in research and product development settings.
  • Strong expertise in CT physics processing algorithms and image quality analysis, with the ability to evaluate the impact of changes across the full imaging chain. Skilled in identifying dependencies between processing stages to ensure optimal imaging performance and system integration.
  • Experience with machine learning frameworks such as PyTorch and TensorFlow preferred, with the ability to apply advanced computational methods to imaging challenges. Knowledge of modern AI/ML techniques in support of innovation and product advancement is a plus.
  • You must be able to successfully perform the following minimum Physical, Cognitive and Environmental job requirements with or without accommodation for this position.

How we work together

We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week. Onsite roles require full-time presence in the company's facilities. Field roles are most effectively done outside of the company's main facilities, generally at the customers' or suppliers' locations.

This is an office role.

About Philips

We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help improve the lives of others.

  • Learn more about our business.
  • Discover our rich and exciting history.
  • Learn more about our purpose.
  • Learn more about our culture.

Philips Transparency Details

The pay range for this position in Orange, OH is $114,750 to $183,600.00

The actual base pay offered may vary within the posted ranges depending on multiple factors including job-related knowledge/skills, experience, business needs, geographical location, and internal equity.

In addition, other compensation, such as an annual incentive bonus, sales commission or long-term incentives may be offered. Employees are eligible to participate in our comprehensive Philips Total Rewards benefits program, which includes a generous PTO, 401k (up to 7% match), HSA (with company contribution), stock purchase plan, education reimbursement and much more. Details about our benefits can be found here.

At Philips, it is not typical for an individual to be hired at or near the top end of the range for their role and compensation decisions are dependent upon the facts and circumstances of each case.

Additional Information

US work authorization is a precondition of employment. The company will not consider candidates who require sponsorship for a work-authorized visa, now or in the future.

Company relocation benefits will not be provided for this position. For this position, you must reside in or within commuting distance to Orange, OH.

#LI-PH1

This requisition is expected to stay active for 45 days but may close earlier if a successful candidate is selected or business necessity dictates. Interested candidates are encouraged to apply as soon as possible to ensure consideration.

Philips is an Equal Employment and Opportunity Employer including Disability/Vets and maintains a drug-free workplace.


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