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Apprentice Machine Learning Testing Jobs in Santa Clara, CA

Adobe Systems

Machine Learning Engineer

San Jose, CA · On-site

$151K - $265K/yr

Key Responsibilities As a Machine Learning Engineer at Adobe, you will play a pivotal role in our ... Perform testing, debugging, and implement efficiencies for flawless execution. * Complete ...

Adobe

Machine Learning Engineer

San Jose, CA

$151K - $265K/yr

Key Responsibilities As a Machine Learning Engineer at Adobe, you will play a pivotal role in our ... Perform testing, debugging, and implement efficiencies for flawless execution. * Complete ...

Adobe, Inc.

Machine Learning Engineer

San Jose, CA · On-site

$151K - $265K/yr

Key Responsibilities As a Machine Learning Engineer at Adobe, you will play a pivotal role in our ... Perform testing, debugging, and implement efficiencies for flawless execution. * Complete ...

Omnissa

Staff Machine Learning Engineer

Mountain View, CA · On-site +1

$162K - $342K/yr

  • Medical

  • Retirement

As a Staff Machine Learning Engineer , you will design, build, and deploy machine learning systems ... Conduct model experimentation, evaluation, and iteration using quantitative metrics and A/B testing ...

Jobzhr

Machine Learning Engineer

San Jose, CA · On-site

$183 - $265/hr

Key Responsibilities As a Machine Learning Engineer at Adobe, you will play a pivotal role in our ... Perform testing, debugging, and implement efficiencies for flawless execution. * Complete ...

Omnissa

Staff Machine Learning Engineer

Mountain View, CA · On-site

$162K - $342K/yr

  • Medical

  • Retirement

  • PTO

As a Staff Machine Learning Engineer , you will design, build, and deploy machine learning systems ... Conduct model experimentation, evaluation, and iteration using quantitative metrics and A/B testing ...

Capital One

Lead Machine Learning Engineer (IC)

San Jose, CA · On-site +1

$120K - $158K/yr

Lead Machine Learning Engineer (IC) As a Capital One Machine Learning Engineer (MLE), you'll be ... Solve complex problems by writing and testing application code, developing and validating ML models ...

Apple

Machine Learning Engineer- Gen AI

Cupertino, CA · On-site

Minimum Qualifications 3+ years experience in GenAI applications, machine learning algorithms ... Experience applying ML techniques in manufacturing, testing, or hardware optimization is a major ...

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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 Aug 20, 2026, the average hourly pay for apprentice machine learning testing in Santa Clara, CA is $22.74, according to ZipRecruiter salary data. Most workers in this role earn between $19.18 and $24.86 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.

What are popular job titles related to Apprentice Machine Learning Testing jobs in Santa Clara, CA?

For Apprentice Machine Learning Testing jobs in Santa Clara, CA, the most frequently searched job titles are:

What job categories do people searching Apprentice Machine Learning Testing jobs in Santa Clara, CA look for?

The top searched job categories for Apprentice Machine Learning Testing jobs in Santa Clara, CA are:

What cities near Santa Clara, CA are hiring for Apprentice Machine Learning Testing jobs?

Cities near Santa Clara, CA with the most Apprentice Machine Learning Testing job openings:

Apprentice Machine Learning Testing jobs near you
Infographic showing various Apprentice Machine Learning Testing job openings in Santa Clara, CA 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, 3% Hybrid, and 10% Remote job distribution, with an average salary of $47,292 per year, or $22.7 per hour.

Staff Machine Learning Engineer

Intuit

Mountain View, CA

$202K - $274K/yr

Full-time

Re-posted 15 days ago

Intuit rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

107th of 245 rated software companies

Job description

Overview

Come join Intuit as a Staff Machine Learning Engineer!

In this role, you’ll be embedded inside a vibrant team of data scientists. You’ll be expected to help conceive, code, and deploy data science models at scale using the latest industry tools. Important skills include data wrangling, feature engineering, developing models, and testing metrics.


Responsibilities

  • Discover data sources, get access to them, import them, clean them up, and make them “machine learning ready”.
  • Work with data scientists to create and refine features from the underlying data and build pipelines to train and deploy models.
  • Partner with data scientists to understand, implement, refine and design machine learning and other algorithms.
  • Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your models.
  • Work cross functionally with product managers, data scientists and product engineers, and communicate results to peers and leaders.
  • Explore new technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.

 Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing pay equity for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.


Qualifications

  • BS, MS, or PhD degree in Computer Science or related field, or equivalent work experience.
  • 6+ years of experience
  • Knowledgeable with Data Science tools and frameworks (i.e. Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark).
  • Basic knowledge of machine learning techniques (i.e. classification, regression, and clustering).
  • Understand machine learning principles (training, validation, etc.)
  • Knowledge of data query and data processing tools (i.e. SQL)
  • Computer science fundamentals: data structures, algorithms, performance complexity, and implications of computer architecture on software performance (e.g., I/O and memory tuning).
  • Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ability to write production-ready code.
  • Experience deploying highly scalable software supporting millions or more users
  • Experience with GPU acceleration (i.e. CUDA and cuDNN)
  • Experience with integrating applications and platforms with cloud technologies (i.e. AWS and GCP)
  • Strong oral and written communication skills. Ability to conduct meetings and make professional presentations, and to explain complex concepts and technical material to non-technical users

Footer

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.

The expected base pay range for this position is:
Mountain View $202,500 - $274,000

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