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Founding Machine Learning Engineer Jobs in Little Rock, AR

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 ...

... 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 ...

BI Engineer

Little Rock, AR · On-site

$85 - $120/hr

BI Engineer Bally's Intralot is a leading provider of lottery, iLottery, sports betting, and ... Experience using internal and external AI or machine learning tools to support data analysis ...

BI Engineer

Little Rock, AR · On-site

$49 - $63.50/hr

BI Engineer Bally's Intralot is a leading provider of lottery, iLottery, sports betting, and ... Experience using internal and external AI or machine learning tools to support data analysis ...

... s Full-Stack Engineer with expertise in IaC (Terraform), Helm, MySQL, Kubernetes, and CI/CD ... Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ...

Data Science Tutor

Conway, AR · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Showing results 41-60

Founding Machine Learning Engineer information

See Little Rock, AR salary details

$30.2K

$123.5K

$185.6K

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

As of Sep 2, 2026, the average yearly pay for founding machine learning engineer in Little Rock, AR is $123,508.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,400.00 and $148,700.00 per year, depending on experience, location, and employer.

What is a founding machine learning engineer?

A Founding Machine Learning Engineer is one of the first technical team members at a startup who specializes in designing, building, and deploying machine learning systems. This role involves working closely with the founders to set the technical direction, build core AI products, and establish best practices for data and model development. In addition to hands-on coding and experimentation, a Founding Machine Learning Engineer often influences product decisions and helps shape the company's engineering culture. The role typically requires a blend of deep technical expertise, startup agility, and a willingness to tackle both high-level strategy and low-level engineering tasks.

What are some unique challenges and expectations for a founding machine learning engineer in an early-stage startup?

As a Founding Machine Learning Engineer, you'll face the unique challenge of building the company's machine learning infrastructure from the ground up, often with limited resources and rapidly evolving requirements. You'll be expected to wear many hats, from designing and deploying models to setting up data pipelines and collaborating closely with product and engineering teams. Your role will also involve making critical decisions about technology stacks and best practices that will shape the company's technical direction. Additionally, you'll have significant influence on the company's culture and have ample opportunities for growth as the team expands.

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

To thrive as a Founding Machine Learning Engineer, you need deep expertise in machine learning algorithms, software engineering, and data science, often supported by a degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow or PyTorch, cloud platforms, and experience deploying ML models in production are typically required. Strong problem-solving abilities, entrepreneurial mindset, and excellent communication skills set standout candidates apart. These skills and qualities are vital for driving innovation, building scalable solutions from scratch, and collaborating within a fast-paced startup environment.

Are founding machine learning engineers still in demand?

Founding machine learning engineers remain in high demand as companies seek to develop AI-driven products and services. They often require strong skills in deep learning, data modeling, and proficiency with tools like TensorFlow or PyTorch, with demand driven by growth in AI applications across industries.

How much does a founding machine learning engineer make?

A founding machine learning engineer typically earns between $100,000 and $180,000 annually, depending on experience, location, and company size. Equity and bonuses may also be part of the compensation package, especially in startup environments where they play a significant role in total earnings.

What are popular job titles related to Founding Machine Learning Engineer jobs in Little Rock, AR?

For Founding Machine Learning Engineer jobs in Little Rock, AR, the most frequently searched job titles are:

What job categories do people searching Founding Machine Learning Engineer jobs in Little Rock, AR look for?

The top searched job categories for Founding Machine Learning Engineer jobs in Little Rock, AR are:

Infographic showing various Founding Machine Learning Engineer job openings in Little Rock, AR 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 $123,508 per year, or $59.4 per hour.

Full-time

Re-posted 29 days ago


Job description

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.