1

Apprentice Machine Learning Testing Jobs in Oceanside, CA

Engineer III

Poway, CA · On-site

$81.08K - $141.65K/yr

We are looking for an experienced Machine Learning Engineer to join our team in Poway, CA. This ... testing, maintenance, and engineering updates completed. Communicates with engineering ...

... 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 ideal ...

... machine learning, reinforcement learning, deep learning. * End-to-end experience in research projects, including study design, simulation/testing, data cleaning, data analysis, and reporting.

... machine learning, reinforcement learning, deep learning. * End-to-end experience in research projects, including study design, simulation/testing, data cleaning, data analysis, and reporting.

Manager 2, AI Science

San Diego, CA · On-site

$205K - $277K/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 ...

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 ...

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 ...

next page

Showing results 1-20

Apprentice Machine Learning Testing information

See Oceanside, CA salary details

$11

$20

$29

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

As of May 31, 2026, the average hourly pay for apprentice machine learning testing in Oceanside, CA is $20.03, according to ZipRecruiter salary data. Most workers in this role earn between $16.92 and $21.88 per hour, depending on experience, location, and employer.

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 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 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 Oceanside, CA? For Apprentice Machine Learning Testing jobs in Oceanside, CA, the most frequently searched job titles are:
What job categories do people searching Apprentice Machine Learning Testing jobs in Oceanside, CA look for? The top searched job categories for Apprentice Machine Learning Testing jobs in Oceanside, CA are:
What cities near Oceanside, CA are hiring for Apprentice Machine Learning Testing jobs? Cities near Oceanside, CA with the most Apprentice Machine Learning Testing job openings:
Machine Learning Engineer Platform - iCloud Mail Intelligence

Machine Learning Engineer Platform - iCloud Mail Intelligence

Apple

San Diego, CA

$201.30K - $302.20K/yr

Full-time

Medical, Dental, Retirement

Posted 16 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers


Job description

Are you passionate about applying your deep understanding of machine learning technologies and data platform skills in creative ways? We at Apple’s iCloud Mail team are searching for an excellent Machine Learning Engineer that can play a role in continuously innovating on iCloud Mail experience. The iCloud Mail engineering team is responsible for building groundbreaking infrastructure that supports our production mail service used by millions of users, sending billions of messages every day. The tasks include design, development, testing, deployment and support of mail infrastructure components passionate about customized mail experiences, anti-abuse, using big data, machine learning and artificial intelligence technologies.
Description
As a machine learning engineer, you will be focusing on:
Leveraging existing AI/ML infrastructure, build new platform services and be responsible for building an end to end machine learning based product solution for improving iCloud Mail experiences.
Working with large volumes of data; extracting and manipulating large datasets using tools such as Spark SQL, command line and scripting languages.
Collect ongoing qualitative and quantitative feedback from the user population and iterate based on the findings.
Building high-performance, scalable and extensible REST based services for enhancing Mail consumer experience.
Design database schemas, write queries, and optimize database performance.
Consider joining a small team writing the software which provides mail services to iCloud customers. We are looking for a very capable engineer who has a strong background in building high-performance, scalable and extensible systems using big data technologies. In addition to crafting efficient, testable, easy-to-maintain code, you recognize the importance of writing functional specifications and design documents. Quality is number one in your mind, and you flourish with building comprehensive unit and end-to-end tests, not only for features you build but also for existing features that need more testing. In this highly transparent position, the successful candidate will enhance existing mail systems while collaborating with multi-functional engineering teams, and also implement new customized mail experiences, in addition to preventing abuse of the system.
Preferred Qualifications
Large Language Model training and Prompt engineering a big plus.
Minimum Qualifications
Deep understanding of predictive modeling and machine learning algorithms for supervised and unsupervised learning including classification, regression, clustering, etc.
Excellent knowledge and experience in all major machine learning algorithms, statistical regression and deep learning included.
Strong production experience training and evaluating ML models with accurate pipelines and metrics
Proficiency in working with distributed system, Hadoop, Spark, etc.
Proven programming skills, with proficiency in Python, Java, etc.
Proficient in design, implementation and maintenance of large-scale, high-performance mail real-time services and frameworks.
Proficient in Event-driven architecture and messaging frameworks (Pub/Sub, Kafka, and/or RabbitMQ)
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $201,300 and $302,200, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976