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Junior Machine Learning Engineer Jobs in Benton, AR

Depending on the needs of the project, development work could include training, statistical analysis, data mining, machine learning, programming, database, web design and development, system analysis ...

AI Engineer

Little Rock, AR · On-site

$100K - $110K/yr

Design, develop, and deploy machine learning models and AI-driven applications * Collaborate with software engineers and product teams to integrate AI solutions into existing platforms * Analyze ...

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted ... Partner with cross-functional teams including engineering, product, and business stakeholders to ...

... analytics engineering focus on leveraging advanced technologies and techniques to design and ... Those in artificial intelligence and machine learning at PwC will focus on developing and ...

Software Engineer Supervisor: Information Technology Director Employment Type: Full-Time FLSA ... Familiarity with machine learning (e.g., Python, TensorFlow, PyTorch, or scikit-learn) and interest ...

Software Engineer Supervisor: Information Technology Director Employment Type: Full-Time FLSA ... machine learning (e.g., Python, TensorFlow, PyTorch, or scikit-learn) and interest in future in ...

Showing results 21-40

Junior Machine Learning Engineer information

See Benton, AR salary details

$28.4K

$61K

$93K

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

As of Aug 19, 2026, the average yearly pay for junior machine learning engineer in Benton, AR is $60,959.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,200.00 and $67,900.00 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 cities near Benton, AR are hiring for Junior Machine Learning Engineer jobs?

Cities near Benton, AR with the most Junior Machine Learning Engineer job openings:

Infographic showing various Junior Machine Learning Engineer job openings in Benton, AR as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 27% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $60,959 per year, or $29.3 per hour.

$79K - $109K/yr

Full-time

Re-posted 25 days ago


Pain Treatment Centers Of America rating

7.6

Company rating: 7.6 out of 10

Based on 6 frontline employees who took The Breakroom Quiz


Job description

SUMMARY OF RESPONSIBILITIES
The Tier II Software Engineer is responsible for reviewing current software, developing and writing new software using AI integrations and machine learning, analyzing and presenting ideas for improvement for software applications under development as needed.
ESSENTIAL FUNCTIONS
  • The Software Engineer is responsible for reviewing current software, processing, analyzing and presenting ideas for improvement as needed.
  • Develops, revises, and/or implements new applications in order to continually improve production.
  • Develops and improves new software ideas and programs in order to improve efficiency and performance.
  • Responsible for troubleshooting, supporting, and maintaining backend systems currently in production, and improving and maintaining existing backend infrastructure.
  • Develops and improves new software ideas and programs in order to improve efficiency and performance.
  • Ability to work with the customers/employees in difficult situations by balancing technical knowledge and people skills.
  • Prepares, revises, and/or implements documentation and usage guides for software development.
  • Collaborating with the Director of IT in order to maintain computer hardware/software inventory.
  • Generates solutions using robotic process automation tools.
  • Develops and assists management in implementing automation tools and processes to improve efficiency across multiple parts of the company.
  • Collaborates with the Director of IT and the Compliance Officer to review, revise, and implement policies and procedures within the department to ensure that best practices are followed while remaining in compliance with federal/state laws, rules, and regulations.
  • Ability to work with the customers/employees in difficult situations by balancing technical knowledge and people skills.
  • Possesses intermediate to advanced knowledge of one or more programming languages and development environments.
  • Prepares, revises, and/or implements documentation and usage guides for software development.
  • Guides and supervises technical aspects of projects in development.
  • Performs other related duties as assigned.

Requirements
CORE COMPETENCIES
  • 3+ years of experience developing/writing software with AI integration applications.
  • Proven track record of deploying AI models in production environments.
  • Hands-on experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
  • Experience in UI Path, Angular, Django, Tensorflow, Python, Github, and JIRA.
  • Take directions and initiate actions (cross/ additional training) that will allow the assumption of cross-functional duties to ensure a seamless workflow.
  • Create and maintain technical/process documentation related to user or system design specifications.
  • Self-starter and comfortable with working independently while providing timely and accurate status reports.
  • Maintains an obligation to report any errors or breaches and work collaboratively with other stakeholders to minimize and correct issues.
  • Ability to prioritize and manage multiple tasks without direct supervision.
  • Multi-tasking abilities, along with ability to work well under pressure, prioritize and meet tight deadlines.
  • Must be able to work independently in a fast-paced environment and exhibit strong written and verbal communication skills.
  • Strong customer service and prompt problem-solving skills including the ability to provide diligent, prompt, and courteous responses to user questions or computer/network issues.
  • Consistently evaluate work completed and determine if further steps are needed to meet client expectations.
  • Take initiative to do to redo inadequate or incomplete work, even if it is not yours.
  • Ensure compliance with regulatory standards.
  • Consistently demonstrate ability to respond to changing situations in a flexible manner in order to meet current needs, such as reprioritizing work as necessary.
  • Organize job functions and work area to be able to effectively complete varied assignments within established time frames.
  • Consistently demonstrate ability to take the initiative to make decisions/choices without direct supervision.
  • Adhere to administrative and departmental policies.
  • Demonstrate regular attendance and timeliness.
  • Do not incur excessive overtime.
  • Remain conscientious in regard to personal hygiene.
  • Demonstrate knowledge and understanding of all policies and procedures and ability to reference them from appropriate sources.
  • Demonstrate adherence and support of company-wide service standards as evidenced by observation and feedback from patients, family members, and other clients.

REQUIRED EDUCATION, EXPERIENCE, AND/OR CERTIFICATIONS
This is a full-time position. Days and hours of work are expected to fluctuate but at a minimum this position will be required to work from 8:00 a.m. to 5:00 p.m. (Monday through Thursday) and 8:00 a.m. to 12:00 p.m. (Friday), and occasionally after regular business hours. Travel may be required. The position operates in a professional office environment and the incumbent, in the course of performing this position, spends time writing, typing, speaking, listening, driving, seeing (such as close, color and peripheral vision, depth perception and adjusted focus), standing, sitting, walking, and reaching. The incumbent operates all standard office equipment, motor vehicles, and mobile phones. The work environment characteristics and physical demands described here are representative of those the incumbent can expect to encounter while performing the essential functions of this job.
WORKING ENVIRONMENT AND PHYSICAL DEMAND
This is a full-time position that may work standard business hours four to five days per week. Days and hours of work are expected to fluctuate significantly but at a minimum require work before, during, and after regular business hours. Presence in the office is required. The position operates in a professional office environment and will require significant time writing, typing, speaking, listening, driving, seeing (such as close, color and peripheral vision, depth perception and adjusted focus), standing, sitting, walking, and reaching. Operation of all standard office equipment, non-CDL motor vehicles, and mobile phones and related technology, is expected. The work environment characteristics and physical demands described here are representative of those an employee encounters while performing the essential functions of this job.

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