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Pytorch Developer Jobs in Omaha, NE (NOW HIRING)

AI Engineer

Bellevue, NE · On-site

$108K - $130K/yr

Optimize foundation models through prompt engineering, fine-tuning, distillation, quantization, and ... Experience with modern AI frameworks such as PyTorch, Hugging Face, DeepSpeed, Megatron, or PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

D. in a "STEM" major (Science, Technology, Engineering, Mathematics) or equivalent field with 3 ... In depth experience with Spark/Hadoop and either PyTorch/Tensorflow * Experience creating ...

D. in a "STEM" major (Science, Technology, Engineering, Mathematics) or equivalent field with 3 ... In depth experience with Spark/Hadoop and either PyTorch/Tensorflow * Experience creating ...

Data and Analytics - AI Engineer II

Omaha, NE · On-site +1

$107K - $150K/yr

AI Engineer II Division: Business Technology Department: Data & Analytics Location: Home Office ... TensorFlow, PyTorch, ML.NET * Cloud Platforms: Azure * Tools: Power Automate, AI Foundry, Power ...

... programming languages such as Python, Java, or C++. - Experience with popular AI frameworks and libraries, such as TensorFlow, PyTorch, or Keras. - Solid understanding of cloud-based AI services and ...

Familiarity with frameworks like TensorFlow or PyTorch. * Serverless & Containers: Proficiency with ... CI/CD & DevOps: Experience with CI/CD pipelines using GitLab or similar. * Infrastructure as Code:

Proficiency in programming languages like Python and R. * Experience with BI tools such as Tableau ... Experience with machine learning frameworks like scikit-learn, TensorFlow, or PyTorch might be ...

Pytorch Developer information

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 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 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 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.
Infographic showing various Pytorch Developer job openings in Omaha, NE as of July 2026, with employment types broken down into 81% Full Time, 7% Part Time, 2% Temporary, and 10% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution.

$108K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


GE HealthCare rating

8.4

Company rating: 8.4 out of 10

Based on 137 frontline employees who took The Breakroom Quiz

99th of 487 rated machine equipment manufacturers


Job description

Job Description Summary
The AI Scientist will work in teams addressing statistical, machine learning and data understanding problems in a commercial technology and collaborative Are you passionate about applying Generative AI to transform healthcare? GE HealthCare is seeking a Senior Staff AI Engineer to design, build, deploy, and optimize production-grade AI solutions that power next-generation clinical applications. In this role, you will develop scalable AI systems using large language models (LLMs), foundation models, and modern machine learning technologies to automate clinical workflows while ensuring reliability, performance, and responsible AI deployment.
Job Description
About the Role
At GE HealthCare, we are bringing AI- and cloud-based technologies to healthcare by delivering advanced analytics, visualization, multimodal learning, intelligent software, and scalable computing solutions across cloud and edge environments. Our Science & Technology organization develops AI capabilities that improve clinical workflows, enhance provider productivity, and help make healthcare more personalized, precise, and accessible.
What You Will Do
  • Design, develop, and deploy production-ready AI solutions using Large Language Models (LLMs), foundation models, and modern machine learning techniques to automate clinical workflows.
  • Build scalable AI applications leveraging electronic medical records (EMRs), medical waveforms, clinical reports, and other healthcare datasets.
  • Develop robust inference pipelines, model serving infrastructure, and AI services optimized for reliability, scalability, latency, and cost.
  • Optimize foundation models through prompt engineering, fine-tuning, distillation, quantization, and inference optimization techniques.
  • Implement responsible AI practices, including model evaluation, robustness testing, monitoring, and human-in-the-loop feedback mechanisms.
  • Collaborate with research scientists and cross-functional engineering teams to transition advanced AI models into production environments.
  • Build reusable software components, APIs, and development frameworks that enable scalable AI application development.
  • Stay current with emerging AI technologies, open-source frameworks, and industry best practices to continuously improve GE HealthCare's AI platform.
Required Qualifications
Education
  • Master's degree in Science, Technology, Engineering, Mathematics (STEM), Computer Science, Artificial Intelligence, or a related technical field with 3+ years of relevant experience, or
  • PhD in a STEM discipline with relevant experience developing production AI systems.
AI & Machine Learning
  • Demonstrated experience building and deploying large-scale Generative AI or foundation model solutions.
  • Experience developing applications using Large Language Models (LLMs), Agentic AI, or self-supervised learning techniques.
  • Strong understanding of modern machine learning techniques including transfer learning, generative models, optimization, and model evaluation.
Software Engineering
  • Strong programming skills in Python and C++.
  • Experience developing scalable, maintainable, production-quality software.
  • Experience designing APIs, distributed services, or cloud-native AI applications.
AI Infrastructure
  • Experience with modern AI frameworks such as PyTorch, Hugging Face, DeepSpeed, Megatron, or PyTorch Lightning.
  • Experience deploying AI workloads using MLOps, ModelOps, or Foundation Model Operations (FMOps) practices.
  • Experience working with large-scale model training or inference infrastructure.
Healthcare Data
  • Experience working with high-dimensional medical imaging, waveform, or time-series clinical datasets.
Preferred Qualifications
  • Experience solving complex engineering problems with ambiguous requirements.
  • Experience deploying large-scale distributed AI systems.
  • Experience with Spark, Hadoop, TensorFlow, or PyTorch in enterprise environments.
  • Experience building production data platforms and AI-powered software applications.
  • Track record of delivering machine learning solutions using large real-world healthcare datasets.
  • Experience optimizing large-scale AI training and inference performance.
Why Join GE HealthCare
Join a global AI engineering organization building production AI systems that improve patient care at scale. You'll work with world-class engineers and scientists across the United States, France, Israel, and India to bring cutting-edge Generative AI capabilities into healthcare products that make a meaningful difference for clinicians and patients worldwide.
Work Environment
Global Collaboration
Our AI teams are located across Bellevue, San Ramon, France, Israel (Tel Aviv), and India (Bangalore), providing opportunities to collaborate across a diverse, global engineering organization.
Work-Life Balance
We value flexibility and recognize that maintaining a healthy work-life balance enables our teams to perform at their best. Our flexible work environment supports both professional success and personal well-being.
Career Growth
You'll collaborate with experienced engineers, researchers, and technical leaders while benefiting from mentorship opportunities across GE HealthCare's global engineering organization.
We will not sponsor individuals for employment visas, now or in the future, for this job opening.For U.S. based positions only, the pay range for this position is $160,080.00-$240,120.00 Annual. It is not typical for an individual to be hired at or near the top of the pay range and compensation decisions are dependent on the facts and circumstances of each case. The specific compensation offered to a candidate may be influenced by a variety of factors including skills, qualifications, experience and location. In addition, this position may also be eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). GE HealthCare offers a competitive benefits package, including not but limited to medical, dental, vision, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, and tuition reimbursement.
GE HealthCare offers a great work environment, professional development, challenging careers, and competitive compensation. GE HealthCare is an Equal 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 HealthCare 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).
While GE HealthCare does not currently require U.S. employees to be vaccinated against COVID-19, some GE HealthCare customers have vaccination mandates that may apply to certain GE HealthCare employees.
Relocation Assistance Provided: Yes

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