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Junior Machine Learning Engineer Jobs in Oklahoma

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

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Junior Machine Learning Engineer information

See Oklahoma salary details

$30.9K

$66.3K

$101.1K

How much do junior machine learning engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for junior machine learning engineer in Oklahoma is $66,295.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,800.00 and $73,900.00 per year, depending on experience, location, and employer.

What does a junior machine learning engineer do?

As a junior machine learning engineer, you work in AI, performing research with algorithms and data modeling techniques. Machine learning involves using large collections of data to create systems that are capable of making predictions, and in this field, your duties and responsibilities revolve around using advanced mathematics to design applications for use in everything from stock trading to sports betting. Some machine learning efforts involve images, and this branch of the field is known as computer vision, while other techniques which focus on text are called natural language processing (NLP). Given these divisions, titles in machine learning include computer vision engineer, NLP scientist, or simply research scientist.

What kinds of projects and responsibilities can a junior machine learning engineer expect in their first year on the job?

As a Junior Machine Learning Engineer, you’ll typically work on tasks such as data preprocessing, building and testing simple models, and supporting more senior engineers in deploying machine learning solutions. Your responsibilities may also include cleaning datasets, implementing basic algorithms, and running experiments to evaluate model performance. You’ll often collaborate closely with data scientists, software engineers, and product teams to understand project goals and learn best practices. The role provides excellent opportunities to develop your technical skills, gain exposure to various stages of the ML pipeline, and gradually take on more complex projects as you grow.

What are the key skills and qualifications needed to thrive as a junior machine learning engineer, and why are they important?

To succeed as a Junior Machine Learning Engineer, you need a solid grasp of programming (especially Python), foundational knowledge of algorithms and statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch and tools like scikit-learn, as well as experience with version control systems like Git, are typically required. Strong problem-solving abilities, attention to detail, and a willingness to learn from feedback are valuable soft skills that help you adapt and grow in the field. These skills ensure you can effectively develop, test, and improve machine learning models while collaborating with more experienced engineers and contributing to team projects.

What is the difference between Junior Machine Learning Engineer vs Data Scientist?

AspectJunior Machine Learning EngineerData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or higher in CS, Statistics, or related; often advanced certifications
Work EnvironmentDeveloping and deploying ML models, coding, testingData analysis, statistical modeling, interpreting data insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, tech, consulting
Search & Comparison IntentYesYes

While both roles involve working with data and machine learning, Junior Machine Learning Engineers focus on building and deploying models, often with coding and engineering skills. Data Scientists analyze data, create statistical models, and interpret insights. The roles overlap but differ mainly in their core responsibilities and skill emphasis.

How much do junior machine learning engineers make?

Junior machine learning engineers typically earn between $70,000 and $100,000 annually, depending on location, education, and industry. Entry-level roles often require knowledge of programming languages like Python and familiarity with machine learning frameworks such as TensorFlow or PyTorch.

What are the most commonly searched types of Machine Learning Engineer jobs in Oklahoma?

The most popular types of Machine Learning Engineer jobs in Oklahoma are:

What are popular job titles related to Junior Machine Learning Engineer jobs in Oklahoma?

For Junior Machine Learning Engineer jobs in Oklahoma, the most frequently searched job titles are:

What job categories do people searching Junior Machine Learning Engineer jobs in Oklahoma look for?

The top searched job categories for Junior Machine Learning Engineer jobs in Oklahoma are:

What cities in Oklahoma are hiring for Junior Machine Learning Engineer jobs?

Cities in Oklahoma with the most Junior Machine Learning Engineer job openings:

Infographic showing various Junior Machine Learning Engineer job openings in Oklahoma as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 72% Full Time, 24% Part Time, and 2% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $66,295 per year, or $31.9 per hour.

Applied Machine Learning Engineer

Oklahoma City, OK • On-site

ANAUTICS INC
Guided Missile and Space Vehicle Manufacturing • 11 - 50 employees

Other

Posted 8 days ago


Job description

Take models from notebooks to production systems that serve real operational workflows.

Impact
  • Convert data science ideas into reliable model services.
  • Build feedback loops that improve model performance over time.
  • Help teams use AI where it creates measurable operational value.
What you'll do
  • Implement training, inference, feature, evaluation, and monitoring pipelines.
  • Work with data scientists to harden models for production use.
  • Build APIs, batch jobs, and workflows around ML capabilities.
  • Improve model reliability, latency, cost, and explainability.
What we're looking for
  • 4+ years of ML engineering or applied machine learning experience.
  • Strong Python and production software fundamentals.
  • Experience deploying models or ML-powered services.
  • U.S. Citizenship is required.
  • Must be capable of obtaining and maintaining a Top Secret security clearance.
  • Comfort working with ambiguous mission, data, and engineering problems.
  • Strong written communication and ability to explain technical decisions to technical and non-technical teams.
Preferred experience
  • AWS experience is a plus, especially secure cloud, GovCloud, serverless, data, or AI services.
  • AI, machine learning, LLM, agentic workflow, or decision intelligence experience is a plus.
  • Experience in defense, government, manufacturing, aerospace, logistics, or other mission-critical environments is a plus.
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