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Apprentice Machine Learning Testing Jobs in Vista, CA

Manager 2, AI Science

San Diego, CA · On-site

$211K - $285K/yr

In this role you will be building and deploying machine learning models using both analytical ... testing applied to data acquired and cleansed from a range of sources * Provide to business ...

Demonstrated experience developing, integrating, or deploying Machine Learning (ML), Artificial ... Strong understanding of automated testing, deployment, and release management processes.

Demonstrated experience developing, integrating, or deploying Machine Learning (ML), Artificial ... Strong understanding of automated testing, deployment, and release management processes.

Responsibilities Advanced Predictive Modeling & Machine Learning: Design, build, and deploy ... standard A/B testing methods, uplift modeling, and sequential testing frameworks. Hands-on ...

Senior Data Scientist

San Diego, CA · On-site

$149K - $202K/yr

Responsibilities Advanced Predictive Modeling & Machine Learning: Design, build, and deploy ... standard A/B testing methods, uplift modeling, and sequential testing frameworks. Hands-on ...

... testing. This is a highly collaborative product development role, requiring close coordination with teams such as Silicon Design, QA, and Machine Learning. The fast-paced, dynamic environment is ...

We are looking for a Machine Learning Engineer specializing in developing computer vision ... Model/system benchmarking and E2E evaluation (latency/accuracy/cost/power), testing, and operations ...

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Apprentice Machine Learning Testing information

See Vista, CA salary details

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

As of Jul 9, 2026, the average hourly pay for apprentice machine learning testing in Vista, CA is $19.79, according to ZipRecruiter salary data. Most workers in this role earn between $16.73 and $21.63 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 Vista, CA? For Apprentice Machine Learning Testing jobs in Vista, CA, the most frequently searched job titles are:
What job categories do people searching Apprentice Machine Learning Testing jobs in Vista, CA look for? The top searched job categories for Apprentice Machine Learning Testing jobs in Vista, CA are:
What cities near Vista, CA are hiring for Apprentice Machine Learning Testing jobs? Cities near Vista, CA with the most Apprentice Machine Learning Testing job openings:
Manager 2, AI Science

Manager 2, AI Science

Intuit

San Diego, CA • On-site

$211K - $285K/yr

Full-time

Re-posted 10 days ago


Intuit rating

8.3

Company rating: 8.3 out of 10

Based on 87 frontline employees who took The Breakroom Quiz

79th of 205 rated software companies


Job description

Intuit is seeking a Manager 2, AI Science to join Intuit AI team.

Come join our collaborative and creative group of AI scientists and machine learning engineers and build models that directly affect hundreds of thousands of our customers. In this role you will be building and deploying machine learning models using both analytical algorithms and deep learning approaches. We are waiting for you to join us and do the best work of your life.


Responsibilities

  • Lead and create a team of AI scientists
  • Mentor and hire the best AI scientists in the valley
  • Apply artificial intelligence and machine learning techniques to solve complex questions or fuel new business opportunities
  • Deliver breakthrough benefits to Intuit users/customers across small business & consumer products using individual, enriched, and aggregated data
  • Provide leadership in advanced engineering, AI science and analytics in the development of current or future products or technologies
  • Provide technical leadership across multiple teams, by understanding a key technology space deeply enough to help guide strategy
  • Provide/inspire AI science innovations that fuel the growth of Intuit as a whole
  • Understand and teach proven methods and hacking skills in working with divergent data types at scale, to explore and extrapolate data-driven insights using advanced, predictive statistical modeling and testing applied to data acquired and cleansed from a range of sources
  • Provide to business stakeholders the entrepreneurial guidance essential for appropriately interpreting and building on findings, and fully exploiting the insights revealed through the research

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.


Qualifications

  • BS, MS, or PhD in an appropriate technology field (Computer Science, Statistics, Applied Math, Econometrics, Operations Research, Physics, etc.)
  • 2+ plus years experience as an established technical leader/Manager of AI science teams that have successfully delivered data-driven software products.
  • Innovative and disruptive technology leader solving long term strategic outcomes
  • Expert command of AI and machine learning, statistical modeling, state-of-the-art tools, and engineering best practices
  • Experience in leading teams who have expertise in data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural nets, support vector machines, genetic algorithms, anomaly detection, recommender systems, and natural language processing.
  • Impeccable attention to detail and strong ability to convert complex data into insights and action plans
  • Strategic thinker, flexible problem solver, great listener and team orientation
  • Able to effectively communicate a vision and inspire others to innovate
  • You thrive on ambiguity and enjoy the frequent pivoting that’s part of the exploration.  You are extremely passionate about applying practically Machine Learning to real customer problems, powering the next generation experiences for large scale applications.

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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:
San Diego $211,000 - $285,500
Employment Type: Full-Time

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