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Apprentice Machine Learning Testing Jobs in Kyle, TX

Avride

Machine Learning Engineer

Austin, TX · On-site

The role involves developing and optimizing machine learning models, managing large-scale datasets ... Develop efficient workflows for training, validation, and testing, incorporating distributed ...

Q2

Machine Learning Engineer

Austin, TX · Hybrid

  • Medical

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and ... testing and validation EXPERIENCE AND KNOWLEDGE Bachelor's degree in related field and 5-8 years ...

Q2 India

Machine Learning Engineer

Austin, TX · On-site

$100 - $130/hr

  • Medical

Machine Learning Engineer page is loaded## Machine Learning Engineerlocations: Austin, TXtime type ... testing and validation**EXPERIENCE AND KNOWLEDGE** • Bachelor's degree in related field and 5-8 ...

Q2 Software, Inc.

Machine Learning Engineer

Austin, TX · On-site

  • Medical

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and ... testing and validation EXPERIENCE AND KNOWLEDGE • Bachelor's degree in related field and 5-8 ...

Rokt group

Senior Machine Learning Engineer

Austin, TX · On-site

$335 - $400/hr

... testing, and integration testing. * Keep track of emerging tech and trends, research the ... grade machine learning systems, spanning model training, tuning, deployment, serving, and ...

New

Rokt

Senior Machine Learning Engineer

Austin, TX · On-site

$210 - $260/hr

... testing, and integration testing. * Keep track of emerging tech and trends, research the ... grade machine learning systems, spanning model training, tuning, deployment, serving, and ...

Rokt

Senior Machine Learning Engineer

Austin, TX · On-site +1

$335K - $400K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... testing, and integration testing. * Keep track of emerging tech and trends, research the ... grade machine learning systems, spanning model training, tuning, deployment, serving, and ...

Lawrence Harvey

Senior Machine Learning Engineer

Austin, TX · On-site

$210K - $260K/yr

Write clean, well-tested, production-quality code and contribute to engineering best practices across testing, reliability and performance. * Research emerging machine learning techniques, prototype ...

News Corporation

Senior Manager, Machine Learning

Austin, TX · On-site

$120 - $160/hr

  • Medical

  • Dental

  • Vision

  • Retirement

At Realtor.com, Machine Learning is part of our DNA. We process terabytes of data every day, and ... Drive A/B & multivariate tests and design of experiments to facilitate testing of new product and ...

Crowe LLP

Machine Learning Engineer

Austin, TX · On-site

$62K - $100K/yr

Develop and implement comprehensive testing protocols, including smoke tests and unit tests, to ensure solution reliability. * Support the debugging process and issue triage to maintain solution ...

Apple, Inc.

Senior Machine Learning Engineer

Austin, TX · On-site

$121K - $160K/yr

... testing workflows. Minimum Qualifications Bachelor?s degree in Computer Science, Statistics ... Experience building data processing pipelines and large scale machine learning systems with ...

Apple

Senior Machine Learning Engineer

Austin, TX · On-site

$121K - $160K/yr

... testing workflows. Minimum Qualifications Bachelorʼs degree in Computer Science, Statistics ... Experience building data processing pipelines and large scale machine learning systems with ...

Bumble Inc.

Senior Machine Learning Engineer

Austin, TX · On-site

$220K - $250K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As a Senior Machine Learning Engineer, you'll own impactful problems end-to-end-from data ... Contribute to experimentation frameworks, including A/B testing and offline evaluation, to iterate ...

Bumble Inc.

Senior Machine Learning Engineer

Austin, TX

$220K - $250K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As a Senior Machine Learning Engineer, you'll own impactful problems end-to-end-from data ... Contribute to experimentation frameworks, including A/B testing and offline evaluation, to iterate ...

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

Apprentice Machine Learning Testing information

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

As of Aug 20, 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 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 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 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.

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Apprentice Machine Learning Testing jobs near you

Machine Learning Engineer

Avride

Austin, TX • On-site

Full-time

Re-posted 27 days ago

Job description

Job Summary:
Avride develops autonomous vehicle and delivery robot technology, and they are seeking an experienced Machine Learning Engineer to enhance their autonomous systems. The role involves developing and optimizing machine learning models, managing large-scale datasets, and collaborating with cross-functional teams to integrate solutions into real-world applications.
Responsibilities:
• Develop and Optimize Machine Learning Models: Design, implement, and refine deep learning models to ensure efficiency, scalability, and robustness. This may include developing models for understanding a self-driving vehicle’s surroundings or predicting the intentions of other road users.
• Curate and Manage Large-Scale Datasets: Oversee data collection, preprocessing, and augmentation to maintain high-quality datasets for training and evaluation.
• Enhance and Maintain Training Pipelines: Develop efficient workflows for training, validation, and testing, incorporating distributed training, hyperparameter tuning, and automated monitoring.
• Improve Model Deployment and Efficiency: Optimize inference performance, model compression, and deployment across various hardware platforms.
• Explore and Apply Cutting-Edge ML Techniques: Stay up to date with advancements in deep learning and experiment with novel approaches to improve model performance.
• Collaborate with Cross-Functional Teams: Work closely with researchers, software engineers, and robotics experts to integrate machine learning solutions into real-world autonomous systems.
Qualifications:
Required:
• Strong understanding of fundamental machine learning algorithms and neural network techniques.
• Expertise in at least one modern machine learning domain, such as computer vision, large language models, or generative AI.
• At least three years of experience developing neural network-based algorithms, including data collection, training, and deployment.
• Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or JAX, along with PySpark, NumPy, and SciPy.
• Working knowledge of C++ and SQL.
• Ability to quickly absorb new concepts by reviewing research papers, technical reports, and documentation.
• Strong collaboration and communication skills, with the ability to align technical work with business objectives and drive results.
Preferred:
• Advanced degree in Computer Science, Machine Learning, Robotics, or a related field.
• Experience developing ML algorithms for autonomous vehicles or robotics applications.
• Familiarity with neural network deployment and optimization tools such as triton, TensorRT, or similar frameworks.
• Proven ability to set and achieve mid- and long-term goals, prioritize tasks, and meet deadlines independently.
• Experience working in cross-functional teams within a multidisciplinary environment.
• Publications in top-tier ML conferences or contributions to patent applications or ML-related open-source projects.
Company:
Avride is a developer and operator of autonomous vehicles and delivery robots. Founded in 2017, the company is headquartered in Austin, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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