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Junior Machine Learning Engineer Jobs in Edmond, OK

Pwc

AI & GenAI Data Scientist-Director

Oklahoma City, OK

$155K - $410K/yr

Within our Data and Analytics Engineering practice, you will apply data, algorithms, and software engineering to build and deploy AI and Machine Learning solutions at scale. As a Director, you will ...

Uponor North America

Machine Operator

Shawnee, OK · On-site

$15 - $18/hr

... learning and caring. If you're passionate about technology, sustainability, and global ... Check parts dimensionally with calipers and measuring tools to maintain engineering drawing ...

Uponor North America

Machine Operator

Shawnee, OK · On-site

$15 - $18/hr

... learning and caring. If you're passionate about technology, sustainability, and global ... Check parts dimensionally with calipers and measuring tools to maintain engineering drawing ...

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All JobsMachine Learning Engineer JobsJunior Machine Learning Engineer JobsJunior Machine Learning Engineer Jobs in Edmond, OK

Junior Machine Learning Engineer information

See Edmond, OK salary details

$30.3K

$64.9K

$98.9K

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

As of Aug 10, 2026, the average yearly pay for junior machine learning engineer in Edmond, OK is $64,871.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,800.00 and $72,300.00 per year, depending on experience, location, and employer.

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 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 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.

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.

More about Junior Machine Learning Engineer jobs
What job categories do people searching Junior Machine Learning Engineer jobs in Edmond, OK look for? The top searched job categories for Junior Machine Learning Engineer jobs in Edmond, OK are:
What cities near Edmond, OK are hiring for Junior Machine Learning Engineer jobs? Cities near Edmond, OK with the most Junior Machine Learning Engineer job openings:
Junior Machine Learning Engineer jobs near you
Infographic showing various Junior Machine Learning Engineer job openings in Edmond, OK as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $64,871 per year, or $31.2 per hour.

Postdoctoral Scientist - Lupu Lab

Oklahoma Medical Research Foundation

Oklahoma City, OK • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 7 days ago

Job description

Position Overview and Responsibilities
The Lupu Lab is seeking a highly motivated Postdoctoral Scientist to join its multidisciplinary research team. The laboratory investigates the biological processes that regulate blood clotting at the interface between circulating blood and the vascular wall, with a particular emphasis on cardiovascular disease.
Our research uses clinically relevant animal models and integrates experimental pathology, physiological monitoring, histopathology, immunocytochemistry, electron microscopy, molecular biology, and biochemical assays. A central focus of the laboratory is understanding the mechanisms of hemostasis and vascular dysfunction.
This is a mentored postdoctoral training position designed to support the development of independent research skills, scientific leadership, and expertise in laboratory and project management.
Key Responsibilities
The Postdoctoral Scientist will:
  • Plan, design, conduct, and interpret scientific research experiments.
  • Develop and test research hypotheses using appropriate experimental and analytical methods.
  • Manage assigned research projects, including timelines, documentation, data quality, and coordination with collaborators.
  • Participate in the ex vivo analysis research group and contribute to the evaluation of previously collected tissues and biological samples.
  • Conduct in vitro cell culture experiments and biochemical and molecular biology assays.
  • Perform confocal and fluorescence microscopy and analyze microscopy data.
  • Conduct histopathological, immunocytochemical, and other tissue-based analyses.
  • Analyze, interpret, summarize, and present experimental findings.
  • Maintain accurate and complete laboratory records.
  • Prepare manuscripts, abstracts, reports, posters, and presentations for publication and scientific meetings.
  • Contribute to grant proposals and future research planning.
  • Develop fellowship applications and pursue independent funding opportunities.
  • Participate in laboratory management activities and develop progressive competency in research laboratory operations.
  • Provide guidance to junior scientists and research staff.
  • Collaborate effectively with investigators, laboratory personnel, and interdisciplinary research partners.
  • Perform other research-related duties as assigned.

???Bioinformatics and Computational Responsibilities
The successful candidate will contribute to the bioinformatics analysis of single-nucleus RNA sequencing datasets. Responsibilities may include:
  • Processing, integrating, and analyzing single-nucleus RNA sequencing data.
  • Conducting cell clustering, annotation, differential expression, pathway, and network analyses.
  • Developing and maintaining reproducible bioinformatics workflows.
  • Applying statistical, machine-learning, and visualization methods to complex biological datasets.
  • Integrating transcriptomic results with experimental, pathological, and physiological findings.
  • Documenting analytical methods, code, results, and data-processing decisions.

Minimum Qualifications
  • Ph.D. in a biological science, chemistry, physics or other relevant area, M.D., or equivalent.
  • Knowledge of scientific theory, research principles, and experimental practices.
  • Demonstrated ability to formulate and test scientific hypotheses.
  • Ability to independently conduct research experiments and analyze, interpret, and summarize data.
  • Strong scientific and technical writing skills, including the ability to contribute to manuscripts, reports, fellowship applications, and grant proposals.
  • Effective oral and written communication skills.
  • Ability and willingness to mentor students and guide the work of junior scientists.
  • Strong organizational and project-management skills.
  • Ability to work independently while contributing effectively within a collaborative research environment.
  • Demonstrated potential to assume leadership and laboratory-management responsibilities.

Preferred Qualifications
  • Experience with cell culture, biochemical assays, molecular biology techniques, tissue analysis, or microscopy.
  • Experience analyzing single-cell or single-nucleus RNA sequencing data.
  • Advanced programming and computational skills using tools such as Python, R, or MATLAB.
  • Experience with bioinformatics platforms and pipelines, including Seurat, Scanpy, and hdWGCNA.
  • Knowledge of machine-learning methods and their application to biological data.
  • Experience with Bayesian statistical analysis, including the use of JASP or comparable statistical software.
  • Experience developing reproducible computational workflows and managing large biological datasets.
  • Evidence of scientific productivity through peer-reviewed publications, presentations, or research awards.

Professional Development
The Postdoctoral Scientist will receive mentorship in:
  • Independent experimental design and scientific reasoning.
  • Manuscript preparation and scientific communication.
  • Grant and fellowship writing.
  • Research project and laboratory management.
  • Mentoring and supervision of junior researchers.
  • Development of an independent research program and long-term career goals.

OMRF Overview
Founded in 1946, the Oklahoma Medical Research Foundation (OMRF) is among the nation's oldest, most respected independent, nonprofit biomedical research institutes. OMRF is dedicated to understanding and developing more effective treatments for human diseases, focusing on critical research areas such as Alzheimer's disease, cancer, lupus, multiple sclerosis, and cardiovascular disease. OMRF follows an innovative cross-disciplinary approach to medical research and ranks among the nation's leaders in patents per scientist.
Located in Oklahoma City, a city that offers a dynamic and flourishing downtown area, with low cost of living, short commute times and a diversified economy, OMRF has been voted one of the Top Workplaces since the inception of the award. This achievement has been accomplished thanks to OMRF individuals who share a unified understanding that our excellence can only be fully realized with a collective commitment to our mission, ". . . so that more may live longer, healthier lives." Successful candidates will demonstrate commitment to this mission.
OMRF Benefits
We offer competitive salaries and comprehensive benefits to full-time employees including medical, dental, and vision insurance, minimum 8% company retirement contribution, vacation and sick leave, and paid holidays. All employees have access to our onsite café, free onsite fitness center with access to personal trainer, free parking and much more! Relocation assistance available for those located 50 miles outside of Oklahoma City metro. Learn more about our benefits here.
OMRF is an Equal Opportunity Employer.

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