ZipRecruiter

Log In

1

Apprentice Machine Learning Testing Jobs in Kyle, TX

Avride

Senior / Staff Machine Learning Engineer

Austin, TX · On-site

$124K - $171K/yr

Develop efficient workflows for training, validation, and testing, incorporating distributed ... Strong understanding of fundamental machine learning algorithms and neural network techniques.

Avride

Senior / Staff Machine Learning Engineer

Austin, TX · On-site

$124K - $171K/yr

Develop efficient workflows for training, validation, and testing, incorporating distributed ... Strong understanding of fundamental machine learning algorithms and neural network techniques.

Bumble Inc.

Staff Machine Learning Engineer

Austin, TX · On-site

$300K - $345K/yr

As part of the Machine Learning team, you'll play a critical role in shaping how AI powers ... Establish best practices for experimentation, including robust A/B testing and evaluation ...

PayPal

Sr Machine Learning Engineer

Austin, TX · On-site

$121K - $160K/yr

PayPal, Inc. seeks Sr Machine Learning Engineer in Austin, TX Job Duties: Evaluate and validate ... testing, and performance evaluation (2 years). 8. Experience preparing model documentation ...

PayPal, Inc.

Sr Machine Learning Engineer

Austin, TX · On-site

$121K - $160K/yr

PayPal, Inc. seeks Sr Machine Learning Engineer in Austin, TX Job Duties: Evaluate and validate ... testing, and performance evaluation (2 years). 8. Experience preparing model documentation ...

next page

Showing results 1-20

All JobsApprentice Machine Learning Testing JobsApprentice Machine Learning Testing Jobs in Kyle, TX

Apprentice Machine Learning Testing information

See Kyle, TX salary details

$10

$18

$26

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

As of Jun 19, 2026, the average hourly pay for apprentice machine learning testing in Kyle, TX is $18.58, according to ZipRecruiter salary data. Most workers in this role earn between $15.67 and $20.29 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 Kyle, TX? For Apprentice Machine Learning Testing jobs in Kyle, TX, the most frequently searched job titles are:
What job categories do people searching Apprentice Machine Learning Testing jobs in Kyle, TX look for? The top searched job categories for Apprentice Machine Learning Testing jobs in Kyle, TX are:
What cities near Kyle, TX are hiring for Apprentice Machine Learning Testing jobs? Cities near Kyle, TX with the most Apprentice Machine Learning Testing job openings:
Apprentice Machine Learning Testing jobs near you

Computer Vision & Machine Learning, Junior

Allen Control Systems

Austin, TX • On-site

Other

Medical, Dental, Vision, PTO

Posted 7 days ago

Job description

Junior Computer Vision & Machine Learning for Autonomous Anti-Drone Systems

Company Overview:

Allen Control Systems (ACS) is a cutting-edge defense startup, founded by two ex-Navy electrical engineers with a proven track record in robotics and software. We are developing a small, autonomous gun turret that employs advanced computer vision and control systems to precisely target and neutralize small drones and loitering munitions. Our innovative approach requires overcoming significant technical challenges, making this an exciting and dynamic environment for experienced engineers.

With an engineering-first culture, ACS values technical excellence and innovation. Backed by our founders' successful exits from two previous venture acquired for a combined $180M in 2022, we are committed to ensuring that the groundbreaking technologies we develop will have a real-world impact. 

What You'll Do:

  • Development and optimization of computer vision algorithms for our autonomous gun turret, focusing on real-time drone detection, tracking, and classification.
  • Design and implement machine learning models that can operate in resource-constrained environments while maintaining high accuracy and reliability.
  • Collaborate closely with electrical engineers to integrate computer vision systems into the turret's hardware architecture.
  • Conduct extensive testing and validation of computer vision algorithms in various scenarios to ensure robustness and performance under different environmental conditions.
  • Contribute to the hardening of the prototype turret into a military-grade system, and assist in developing variants for different weapon systems and engagement ranges.

What You'll Need:

  • Deep passion for machine learning, computer vision, and robotics, and have been exploring these areas since early in your career.
  • At least a Bachelor's degree in Computer Science, Electrical Engineering, or a related field, with a strong focus on machine learning and computer vision.
  • 0-3+ years of experience working on machine-learning-based computer vision, ideally in the context of robotics.
  • A proven track record of developing and deploying computer vision systems, ideally in real-time or safety-critical applications.
  • Proficient in Python, C++, and have experience with machine learning frameworks such as TensorFlow, PyTorch, or similar.
  • Experience with embedded systems and integrating computer vision algorithms into hardware.
  • Familiar with various sensors (e.g., cameras, LIDAR, RADAR) and their integration into autonomous systems.
  • You enjoy collaborating with other engineers to solve complex technical challenges.

What We Offer:

  • Competitive salary
  • ACS Equity Package
  • Health, Dental, Vision Insurance
  • Paid Time Off

Allen Control Systems is an Equal Opportunity Employer, providing equal employment opportunities to all employees and applicants for employment. Allen Control Systems prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Apply