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Mobile Machine Learning Jobs in Arkansas (NOW HIRING)

Staff, Data Scientist

Bentonville, AR · On-site

$143K - $286K/yr

Whenever a user types in a query or browses through product categories on our website or mobile app ... Applying machine learning algorithms to maximize the relevance of search system and minimize risks.

AI Cloud Engineer III

El Dorado, AR · On-site

$49.50 - $66.25/hr

... mobile applications. Translate AI solutions and business requirements into production-ready ... Provision, configure, and maintain scalable AI and machine learning environments in Microsoft Azure ...

Test types; Test tools including Automation - Selenium, Agile - Jira, Mobile - Eggplant; Test ... Implementing various supervised and unsupervised machine learning algorithms including ...

Familiarity with machine learning (e.g., Python, TensorFlow, PyTorch, or scikit-learn) and interest ... Operation of standard office equipment, non-CDL motor vehicles, mobile phones, and related ...

We leverage cutting-edge technologies such as big data, machine learning, AI, real-time analytics ... mobile apps, or in-store. Focus areas include customers, stores and employees, in-store service ...

Staff, Technical Program Manager

Bentonville, AR · On-site

$113K - $146K/yr

We leverage cutting-edge technologies such as big data, machine learning, AI, real-time analytics ... mobile apps, or in-store. Focus areas include customers, stores and employees, in-store service ...

Mobile Machine Learning information

See Arkansas salary details

$10

$20

$98

How much do mobile machine learning jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for mobile machine learning in Arkansas is $20.94, according to ZipRecruiter salary data. Most workers in this role earn between $11.92 and $16.68 per hour, depending on experience, location, and employer.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in programming, data analysis, and deep learning. These roles usually involve leadership responsibilities, specialized knowledge, and may be found in large tech companies or research institutions.

What are the key skills and qualifications needed to thrive as a Mobile Machine Learning Engineer, and why are they important?

To thrive as a Mobile Machine Learning Engineer, you need a solid background in computer science, machine learning, and mobile application development, often supported by a relevant degree and experience. Proficiency with ML frameworks (like TensorFlow Lite or Core ML), mobile platforms (Android/iOS), and deployment tools is typically required. Strong problem-solving skills, adaptability, and effective communication set standout professionals apart in this field. These skills are crucial for successfully developing, optimizing, and integrating machine learning models into efficient and user-friendly mobile applications.

Will MLE be replaced by AI?

Mobile Machine Learning Engineers (MLEs) develop and optimize machine learning models for mobile devices. While AI technologies continue to advance, MLEs focus on implementing efficient, lightweight models suitable for mobile hardware, and their role is expected to evolve rather than be fully replaced by AI itself. Skills in model optimization, deployment, and understanding mobile constraints remain essential for MLEs.

What engineer makes $500,000 a year?

Senior machine learning engineers, including those working on mobile applications, can earn $500,000 or more annually, especially with extensive experience, advanced skills in deep learning and AI, and roles in high-paying industries or companies. Achieving this level often requires advanced degrees, specialized expertise, and leadership responsibilities.

What is mobile machine learning?

Mobile machine learning refers to the development and deployment of machine learning models on mobile devices such as smartphones and tablets. It enables apps to perform tasks like image recognition, language translation, and speech processing directly on the device without needing to send data to the cloud. This approach improves privacy, reduces latency, and can work even without an internet connection. Developers use frameworks like TensorFlow Lite, Core ML, and PyTorch Mobile to optimize models for the limited resources of mobile hardware.

What is the difference between Mobile Machine Learning vs Data Scientist?

AspectMobile Machine LearningData Scientist
Required CredentialsBachelor's in CS, ML, or related; experience with mobile platformsBachelor's or higher in CS, Statistics, or related; data analysis skills
Work EnvironmentMobile app development teams, on-device processingData analysis teams, research environments
Industry UsageMobile app companies, tech startupsFinance, healthcare, tech firms
Common Search/ComparisonYesYes

Mobile Machine Learning focuses on developing ML models optimized for mobile devices and integrating them into mobile apps. Data Scientists analyze large datasets to extract insights and build predictive models across various industries. While both roles require programming and ML knowledge, Mobile Machine Learning emphasizes on-device deployment and mobile platform expertise, whereas Data Scientists focus on data analysis and model development for broader applications.

Which 3 jobs will survive AI?

Mobile Machine Learning professionals, data scientists, and AI system engineers are likely to continue thriving as AI advances, due to their expertise in developing, managing, and interpreting complex models. These roles require specialized skills in programming, statistics, and domain knowledge, making them less susceptible to automation. Continuous learning and staying updated with AI tools and frameworks are essential for long-term job security in this field.

What are some common challenges faced by Mobile Machine Learning engineers when deploying models on mobile devices?

Mobile Machine Learning engineers often encounter challenges related to limited computational resources and memory constraints on mobile devices. Optimizing models for efficient inference without significant loss in accuracy is a key hurdle, as is ensuring compatibility across different devices and operating systems. Additionally, balancing power consumption and real-time performance is critical, so engineers frequently collaborate with mobile app developers and hardware specialists to deliver seamless user experiences while maintaining model integrity.
What are the most commonly searched types of Machine Learning jobs in Arkansas? The most popular types of Machine Learning jobs in Arkansas are:
What are popular job titles related to Mobile Machine Learning jobs in Arkansas? For Mobile Machine Learning jobs in Arkansas, the most frequently searched job titles are:
Infographic showing various Mobile Machine Learning job openings in Arkansas as of July 2026, with employment types broken down into 1% As Needed, 71% Full Time, 25% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $43,558 per year, or $20.9 per hour.
Staff, Data Scientist

Staff, Data Scientist

Walmart

Bentonville, AR • On-site

$143K - $286K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago


Walmart rating

6.0

Company rating: 6.0 out of 10

Based on 22,244 frontline employees who took The Breakroom Quiz

25th of 39 rated national retailers


Job description

Position Summary... What you'll do...About Team: 
We are at the forefront of attacking one of the most complex problems of e-commerce. Whenever a user types in a query or browses through product categories on our website or mobile app, our service goes to work. We mine billions of search queries and tens of millions of products to find the most relevant products for our customers. Team members take end-end responsibility in analyzing large amounts of data, creating complex models, improving their accuracy, and deploying these models to serve customers.
As part of this team, you'll solve some of the most fascinating and impactful problems in machine learning, information retrieval, NLP or computer vision. The algorithms you develop will champion customers’ need to express their intent and our goal to understand their preferences, implicitly or explicitly across devices and modalities (voice, text, image etc.). You will develop and deploy machine learned models, to engage and converse with our customers and to understand their goals and expectations to enable them to make the right purchase decision. Your work will be visible to millions of customers and you will have a direct impact on the goals of the company. If you speak and think machine learning then we want to talk to you. Come join our team and be part of this exciting journey.
*****Immigration Sponsorship support will NOT be available for this position
What you'll do:
  • Applying machine learning algorithms to maximize the relevance of search system and minimize risks.
  • Building, validating, testing, and deploying predictive models using machine learning techniques to explain or predict behavior and solve a variety of business and engineering problems.
  • Identifying, collecting, and exploring the right data used for predictive modeling and algorithm development.
  • Performing and leading developments using machine learning techniques in one or more of the key areas like natural language processing, computer vision, information retrieval, entity recognition, product classification, and recommendation system.

What you'll bring:
  • At least 5 years of work and research experience in the machine learning field with a deep understanding of machine learning and interest in applying it at scale.
  • You have experience with data cleaning, preparation, featurization, and selection techniques.
  • You have experience working with large data sets to solve problems.
  • Experience with deep learning library like TensorFlow and/or PyTorch is highly desirable as well as experience with Spark and/or Hadoop.
  • You have/had hands-on experience with Python, Java, or Scala and the ability to write reusable and efficient code to automate machine learning pipelines and data processes.
  • You have effective communication, interpersonal, and teamwork skills.
  • You have the ability to handle multiple concurrent projects while working independently and in teams.
  • You can work in a fast-paced and deadline driven environment.
  • Ph.D. or Master’s degree in Computer Science, Statistics, Artificial Intelligence, Operations Research, Mathematics, Electrical Engineering, Computational Linguistics or related fields.

The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.
About Walmart Global Tech:
Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. Thats what we do at Walmart Global Tech. Were a team of software engineers, data scientists, cybersecurity experts and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. Weare people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.
Living the Walmart Value:
Focus on our Associates / Belonging - Identifies, attracts, and retains top talent; builds a high-performing team; embraces a culture of belonging
Benefits and Perks:
Beyond competitive pay, you can receive incentive awards for your performance. Other great benefits include a 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, flexible working hours, and more.
We are reimagining the tech workplace by making a permanent transition to virtual work for most of our team. Of course, being together in person is an important part of our culture and shared success. Well collaborate in person at a regular cadence and with purpose.
Equal Opportunity Employer:
Walmart, Inc., is an Equal Opportunity Employer By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing unique styles, experiences, identities, ideas and opinions while being inclusive of all people.
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.
Sunnyvale, California US-11349: The annual salary range for this position is $143,000.00 - $286,000.00
Bentonville, Arkansas US-10735: 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 :
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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: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 years' experience in an analytics or related field Preferred Qualifications...

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

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background 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. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture. Primary Location... 1395 Crossman Ave, Sunnyvale, CA 94089-1114, 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

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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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