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Entry Level Machine Learning Engineer Jobs in Arkansas

Machine Learning Tutor

Conway, AR · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Data & AI Engineer

Alexander, AR · On-site

$107K - $129K/yr

Apply machine learning best practices, including feature engineering, model validation, and performance tuning for development and deployment * Utilize Foundry AIP and integrate LLM-based agents to ...

Data & AI Engineer

Alexander, AR · On-site

$107K - $129K/yr

Apply machine learning best practices, including feature engineering, model validation, and performance tuning for development and deployment * Utilize Foundry AIP and integrate LLM-based agents to ...

Showing results 41-60

Entry Level Machine Learning Engineer information

See Arkansas salary details

$24.8K

$57.4K

$97.6K

How much do entry level machine learning engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for entry level machine learning engineer in Arkansas is $57,356.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,600.00 and $64,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an entry level machine learning engineer?

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What are some typical projects or tasks an entry level machine learning engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.

What is an entry level machine learning engineer?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

What are the most commonly searched types of Machine Learning Engineer jobs in Arkansas? The most popular types of Machine Learning Engineer jobs in Arkansas are:
What are popular job titles related to Entry Level Machine Learning Engineer jobs in Arkansas? For Entry Level Machine Learning Engineer jobs in Arkansas, the most frequently searched job titles are:
Infographic showing various Entry Level Machine Learning Engineer job openings in Arkansas as of August 2026, with employment types broken down into 15% Internship, and 85% Full Time. Highlights an 72% In-person, 14% Hybrid, and 14% Remote job distribution, with an average salary of $57,356 per year, or $27.6 per hour.

(USA) Senior, Machine Learning Engineer

Walmart

Fayetteville, AR • On-site

$110K - $220K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


Walmart rating

6.0

Company rating: 6.0 out of 10

Based on 22,398 frontline employees who took The Breakroom Quiz

25th of 39 rated national retailers


Job description

Position Summary... What you'll do...Role summary:
Walmart is seeking a Senior Machine Learning Engineer to design, develop, and deliver scalable ML solutions that address complex business challenges. This role involves collaborating with cross-functional teams to help implement, test, and maintain ML models and pipelines while ensuring compliance with security and governance standards. The successful candidate will lead technical efforts across the ML lifecycle, including feature engineering, model evaluation, deployment, and monitoring. They will also drive innovation, and uphold high standards of quality and integrity to support Walmart’s mission of delivering value to customers and stakeholders.
About the team:
The Walmart team combines expertise in data science and computer vision to drive innovation with a strong emphasis on safety and security. They focus on fraud prevention, threat detection, and digital risk management while supporting cloud transformation efforts. Leveraging advanced analytics and data-driven insights, the team enhances decision-making and operational reliability. Collaboration and continuous improvement are central to their approach, fostering a culture committed to accuracy, security, and sustainable growth across the organization. This team plays a key role in maintaining a secure environment and stakeholder confidence through technical excellence and innovation.
What you'll do:
  • Collaborate with CV scientists, data scientists, and product teams to deliver machine learning pipelines and model integrations.
  • Design and develop scalable ML systems using appropriate algorithms and frameworks.
  • Implement, test, and support ML services, APIs, and data pipelines ensuring quality and reliability.
  • Apply MLOps practices including CI/CD, model versioning, and automated retraining for sustained performance.
  • Conduct rigorous model evaluation, monitoring, and maintenance to address drift and performance issues.
  • Mentor team members on coding standards, pipeline best practices, and model evaluation techniques.
  • Ensure ML solutions comply with security, privacy, and enterprise governance standards.
  • Participate in technical discussions to enhance system scalability, maintainability, and compliance.

What you'll bring:
  • Proven expertise in designing, developing, and deploying scalable machine learning pipelines using frameworks such as TensorFlow, PyTorch, and Scikit-learn.
  • Strong proficiency in programming languages including Python, SQL, Java, C++, or R for production-ready ML applications.
  • Experience with MLOps practices including CI/CD, model versioning, automated retraining, and telemetry to ensure model reliability and performance.
  • Ability to implement secure, compliant ML pipelines adhering to enterprise AI governance standards.
  • Skilled in model evaluation, hyperparameter optimization, and monitoring to maintain accuracy and performance.
  • Demonstrated technical leadership, mentoring, and collaboration across cross-functional teams.
  • Familiarity with cloud-native architectures and platform design for ML solutions, NVidia Deepstream architecture is a plus.
At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices. Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart.
The annual salary range for this position is $110,000.00 - $220,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
- Stock

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Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1: Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 3 years’ experience in software engineering, machine learning engineering, AI systems or related area.
Option 2: 5 years’ experience in software engineering, machine learning engineering, AI systems or related area. Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Master’s degree in computer science, computer engineering, computer information systems, software engineering, or related area and 1 years' experience in software engineering, machine learning engineering, AI systems or related area., Prior work experience in accessibility best practices., Prior work experience in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. Primary Location... 805 Se Moberly Ln., Bentonville, AR 72712, United States of America Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

What Walmart employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About Walmart

Sourced by ZipRecruiter

From our humble beginnings as a small discount retailer in Rogers, Ark., Walmart has opened thousands of stores in the U.S. and expanded internationally. Through innovation, we're creating a seamless experience to let customers shop anytime and anywhere online and in stores. We are creating opportunities and bringing value to customers and communities around the globe. Walmart operates approximately 10,500 stores and clubs in 19 countries and eCommerce websites. We employ 2.1 million associates around the world — nearly 1.6 million in the U.S. alone.

Industry

Retail and transportation and warehousing

Company size

10,000+ Employees

Headquarters location

Bentonville, AR, US

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