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Apprentice Machine Learning Testing Jobs in Arlington, TX

Learning to diagnose and repair electrical issues * Prioritizing safety and quality in every ... Testing and troubleshooting systems for reliability * Maintaining detailed records of all work ...

Sr. Data Analyst

Richardson, TX

$78K - $98K/yr

Statistical Testing: Design and execute rigorous statistical tests (A/B testing, hypothesis testing ... Master's degree in Data Science, Analytics, Machine Learning, Statistics, or a related quantitative ...

Sr. Data Analyst

Richardson, TX · On-site

$78K - $98K/yr

Statistical Testing: Design and execute rigorous statistical tests (A/B testing, hypothesis testing ... Master's degree in Data Science, Analytics, Machine Learning, Statistics, or a related quantitative ...

Machine learning concepts * Data visualization * Proficiency in: * SQL * Python or R * Excel ... Conduct A/B testing and impact analysis for pricing changes and product enhancements. * Automate ...

Machine learning concepts * Data visualization * Proficiency in: * SQL * Python or R * Excel ... Conduct A/B testing and impact analysis for pricing changes and product enhancements. * Automate ...

Machine learning concepts * Data visualization * Proficiency in: * SQL * Python or R * Excel ... Conduct A/B testing and impact analysis for pricing changes and product enhancements. * Automate ...

Software Engineer / Python

Dallas, TX · On-site +1

$46.25 - $63.75/hr

Develop effective methods of ML model testing during all stages: development, deployment, and recalibration * Train machine learning models, analyze performance metrics, and communicate results with ...

AI Engineering Associate Director

Plano, TX · On-site

$242K/yr

Participate in testing, debugging, performance tuning, deployment, documentation, and operational ... Hands-on experience building AI, machine learning, generative AI, analytics, automation, or data ...

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Apprentice Machine Learning Testing information

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How much do apprentice machine learning testing jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for apprentice machine learning testing in Arlington, TX is $17.42, according to ZipRecruiter salary data. Most workers in this role earn between $14.71 and $19.04 per hour, depending on experience, location, and employer.

What kinds of projects or tasks can I expect to work on as an Apprentice Machine Learning Testing?

As an Apprentice Machine Learning Testing, you’ll typically assist in evaluating machine learning models by designing and running tests, analyzing model outputs, and helping identify issues like bias or overfitting. You may work closely with data scientists and software engineers to validate model performance and ensure results align with project objectives. Your daily tasks might include preparing test datasets, executing automated testing scripts, and documenting findings to help improve model reliability. This role often serves as a valuable introduction to practical machine learning workflows and quality assurance processes in technical teams.

What are the key skills and qualifications needed to thrive as an Apprentice Machine Learning Testing, and why are they important?

To thrive as an Apprentice in Machine Learning Testing, a foundational understanding of statistics, programming (especially Python), and basic machine learning concepts is essential, often supported by a degree or coursework in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, Jupyter Notebooks, and version control systems is typically required. Strong analytical thinking, attention to detail, and effective communication skills help apprentices collaborate and identify testing issues efficiently. These skills ensure accurate model validation, effective troubleshooting, and contribute to the robust deployment of machine learning solutions.

What does an Apprentice Machine Learning Testing do?

An Apprentice Machine Learning Testing professional assists in evaluating and validating machine learning models to ensure they perform as expected. They typically work under the guidance of experienced data scientists or engineers, running tests, analyzing results, and helping to identify issues such as bias or inaccuracies in algorithms. Their responsibilities may also include developing test cases, writing reports, and learning about data preprocessing and evaluation metrics. This role is ideal for those who are new to the field and want to build foundational skills in machine learning quality assurance.

What is the difference between Apprentice Machine Learning Testing vs Machine Learning Engineer?

AspectApprentice Machine Learning TestingMachine Learning Engineer
Required CredentialsBasic understanding of ML concepts, often pursuing relevant certifications or degreesAdvanced degrees (BSc, MSc, PhD) in CS or related fields, with extensive experience
Work EnvironmentEntry-level, supervised testing environments, often in training programsFull-time, independent development and deployment of ML models in production
Employer & Industry UsageInternships, training programs, entry-level roles in tech companiesEstablished tech firms, startups, research institutions

Apprentice Machine Learning Testing roles focus on learning and assisting with testing ML models under supervision, while Machine Learning Engineers design, build, and deploy ML systems independently. The apprentice position is ideal for gaining foundational skills, whereas the engineer role requires advanced expertise and experience.

What are popular job titles related to Apprentice Machine Learning Testing jobs in Arlington, TX? For Apprentice Machine Learning Testing jobs in Arlington, TX, the most frequently searched job titles are:
What cities near Arlington, TX are hiring for Apprentice Machine Learning Testing jobs? Cities near Arlington, TX with the most Apprentice Machine Learning Testing job openings:
Perception Engineer I - Project Based

Perception Engineer I - Project Based

Autonomous Solutions

Fort Worth, TX

Temporary

Medical, Retirement, PTO

Posted 14 days ago


Job description

This is a project-based employee role supporting the development, integration, and validation of ASI's autonomous compactor platforms. Development phases of this nature typically continue through project completion, often spanning two to four years, although scope and duration are determined by business and customer needs.

JOB SUMMARY

The Perception Engineer I supports the development, integration, and testing of perception capabilities that enable ASI's autonomous compactors to understand terrain, detect obstacles, recognize work-area conditions, and operate safely in construction environments. This role works with data from cameras, LiDAR, radar, GPS/GNSS, inertial sensors, and other systems to support environmental awareness, terrain understanding, obstacle detection, and autonomous machine operation.

As a Level I engineer within ASI's five-level engineering structure, this position completes defined engineering assignments under the guidance of more experienced engineers. The role provides an opportunity to develop practical experience in robotics, computer vision, sensor processing, software development, and autonomous heavy-equipment testing while contributing to the Compactor Team's development goals.

ESSENTIAL DUTIES AND RESPONSIBILITIES

  • Support the development, implementation, and testing of perception software for autonomous compactor applications
  • Assist with capabilities involving obstacle detection, object classification, terrain understanding, work-area awareness, and environmental sensing
  • Process and analyze data from cameras, LiDAR, radar, GPS/GNSS, inertial sensors, and other vehicle systems
  • Develop and maintain software components, scripts, and engineering tools under the direction of experienced team members
  • Assist with integrating perception software into ASI's autonomous compactor platforms and embedded computing systems
  • Evaluate assigned perception features using recorded datasets, simulation, laboratory testing, and vehicle field testing
  • Review test data to identify false detections, missed detections, sensor issues, and performance limitations
  • Support the collection, organization, labeling, visualization, and replay of sensor data
  • Assist with sensor installation, configuration, calibration, and validation activities
  • Develop basic tools for data processing, visualization, automated testing, and performance analysis
  • Troubleshoot defined software, sensor, and system-integration issues with support from senior engineers
  • Contribute to unit testing, regression testing, and documentation for perception software components
  • Work with GNC, embedded software, systems, test, and field teams to support autonomous compactor integration
  • Participate in code reviews, design discussions, sprint planning, and technical training activities
  • Document software changes, test results, technical findings, and known system limitations
  • Support field testing, customer demonstrations, and deployment activities as required
  • Follow established software-development, safety, quality, and configuration-management practices

ESSENTIAL EDUCATION, WORK EXPERIENCE, JOB SKILLS

  • Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Robotics, Mathematics, or a related technical field
  • Zero to two years of professional experience in computer vision, robotics, machine learning, sensor processing, or software engineering
  • Academic, internship, research, or project experience developing software in C++ or Python
  • Basic understanding of computer vision, robotics, data processing, machine learning, or geometric algorithms
  • Familiarity with cameras, LiDAR, radar, GPS/GNSS, or other robotic sensing technologies
  • Familiarity with Linux-based software-development environments
  • Basic understanding of version control systems such as Git
  • Ability to analyze technical data and communicate findings clearly
  • Strong troubleshooting, learning, and problem-solving skills
  • Strong attention to detail and willingness to follow established engineering processes
  • Ability to receive technical direction and collaborate effectively with cross-functional teams
  • Strong written and verbal communication skills

PREFERRED QUALIFICATIONS

  • Internship, research, capstone, or personal-project experience involving robotics, autonomous vehicles, computer vision, or machine learning
  • Familiarity with ROS, ROS2, or similar robotics middleware
  • Exposure to OpenCV, Point Cloud Library, PyTorch, TensorFlow, or similar technologies
  • Experience working with image data, point clouds, sensor data, or machine-learning datasets
  • Familiarity with coordinate systems, transformations, sensor calibration, or data synchronization
  • Experience developing software for embedded, real-time, or robotic systems
  • Exposure to simulation, recorded-data replay, software-in-the-loop, or hardware-in-the-loop testing
  • Familiarity with construction equipment, compactors, heavy machinery, or off-road vehicles
  • Interest in terrain analysis, soil compaction, construction automation, or autonomous heavy equipment
  • Experience testing software or robotic systems in outdoor or field environments

BENEFITS

ASI offers a comprehensive benefits package, including:

  • 401k with employer match
  • Generous HSA contribution
  • PTO, paid holidays, and flextime
  • ASI covers 90% of employee medical plan costs

At Autonomous Solutions, Inc. (ASI), we are committed to fostering a diverse, inclusive, and equitable workplace where all employees and applicants have equal opportunities. We prohibit discrimination and harassment of any kind based on race, color, religion, sex, national origin, age, disability, genetic information, veteran status, sexual orientation, gender identity, or any other legally protected characteristic. ASI complies with all applicable federal, state, and local laws regarding nondiscrimination in employment and is dedicated to providing reasonable accommodations for individuals with disabilities throughout the hiring process.

This is a full-time, project-based employment opportunity. Your employment with ASI will be "at will," meaning that either you or ASI may terminate your employment at any time for any lawful reason, with or without cause or advance notice.