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Machine Learning Jobs in Oklahoma (NOW HIRING)

... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...

New

... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...

New

... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...

New

... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...

New

... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...

New

... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...

New

$46 - $63/hr

As a Machine Learning DevOPS Engineer for Cloud Products Framework group within our Infrastructure & Cloud team, you will play a crucial role in evangelizing and developing cloud product strategies ...

Machine Operator

Shawnee, OK

$15 - $18/hr

... learning and caring. If you're passionate about technology, sustainability, and global ... Adjust machine settings to accurately complete tasks according to specifications and in a timely ...

Machine Operator

Shawnee, OK · On-site

$15 - $18/hr

... learning and caring. If you're passionate about technology, sustainability, and global ... Adjust machine settings to accurately complete tasks according to specifications and in a timely ...

Machine Operator

Shawnee, OK · On-site

$15 - $18/hr

... learning and caring. If you're passionate about technology, sustainability, and global ... Adjust machine settings to accurately complete tasks according to specifications and in a timely ...

Machine Operator

Shawnee, OK · On-site

$15 - $18/hr

... learning and caring. If you're passionate about technology, sustainability, and global ... Adjust machine settings to accurately complete tasks according to specifications and in a timely ...

Machine Operator

Shawnee, OK · On-site

$15 - $18/hr

... learning and caring. If you're passionate about technology, sustainability, and global ... Adjust machine settings to accurately complete tasks according to specifications and in a timely ...

Machine Operator

Shawnee, OK

$15 - $18/hr

... learning and caring. If you're passionate about technology, sustainability, and global ... Adjust machine settings to accurately complete tasks according to specifications and in a timely ...

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

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Showing results 1-20

Machine Learning information

See Oklahoma salary details

$23.5K

$39.3K

$81.3K

How much do machine learning jobs pay per year?

As of May 30, 2026, the average yearly pay for machine learning in Oklahoma is $39,319.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,000.00 and $42,500.00 per year, depending on experience, location, and employer.

What is a Machine Learning job?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

What are the key skills and qualifications needed to thrive in the Machine Learning position, and why are they important?

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

What are some typical day-to-day responsibilities in a Machine Learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.
What are the most commonly searched types of Machine Learning jobs in Oklahoma? The most popular types of Machine Learning jobs in Oklahoma are:
What are popular job titles related to Machine Learning jobs in Oklahoma? For Machine Learning jobs in Oklahoma, the most frequently searched job titles are:
What cities in Oklahoma are hiring for Machine Learning jobs? Cities in Oklahoma with the most Machine Learning job openings:
Infographic showing various Machine Learning job openings in Oklahoma as of May 2026, with employment types broken down into 54% Full Time, 44% Part Time, 1% Contract, and 1% Nights. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $39,319 per year, or $18.9 per hour.
Research Scientist Intern (2025)

Research Scientist Intern (2025)

Whiterabbit.ai

Tulsa, OK

Other

Posted 8 days ago


Job description

We are looking for a Research Scientist Intern to push the state of the art of our AI models. As a Research Scientist Intern at Whiterabbit.ai, you will:

  • Play a key role in architecting the algorithms and models that will power our products
  • Train on a dedicated high-performance compute cluster specialized for deep learning research
  • Work with doctors and healthcare professionals to identify serious problems and leverage their domain expertise to build robust solutions
  • Remain an active contributor to the research community by partnering with universities and publishing high impact papers

Who we are:

Our mission at Whiterabbit.ai is to save lives and eliminate suffering through the early detection of cancer with artificial intelligence. We collaborate closely with one of the top medical schools in the country and have exclusive access to one of the world’s largest cancer datasets with millions of images. We invent algorithms that make doctors more productive, more accurate, and more capable. We build products and services with a relentless focus on transforming the patient’s healthcare experience.

Responsibilities

  • Develop highly scalable classifiers and detectors that solve real-world problems
  • Learn and understand a large body of research in deep learning and machine learning
  • Participate in cutting-edge research for medical applications of computer vision

Must Have Experience

  • Experience with deep learning and convolutional networks
  • Strong theoretical and empirical research background
  • Fluency with a deep learning framework and Python

Nice to Have Experience

  • Contributions to research communities and efforts, such as publications at conferences like CVPR, NeurIPS, ICCV, ECCV, ICML, and ICLR
  • Large scale machine learning experience working with terabytes of data
  • Implemented custom operations/modules in a deep learning framework
  • Imagination, ambition, and curiosity