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Apprentice Machine Learning Testing Jobs in El Cajon, CA

FICO

Senior Machine Learning Engineer

San Diego, CA · On-site

$122K - $192K/yr

... machine learning; experience working with cloud-based and distributed architectures, large real ... Experience with testing frameworks, A/B testing, performance optimization, and production ...

Cellanome

Machine Learning Engineer

San Diego, CA · On-site

$160K - $215K/yr

The Machine Learning Engineer will work in close collaboration with the core instrument, assay and ... testing, and code optimization. * Familiarity with AI/ML concepts and workflows, including data ...

Apple

Machine Learning Engineer- Gen AI

San Diego, CA

$142K - $214K/yr

... machine learning solutions. We deliver projects from end-to-end: problem statement and ... Experience applying ML techniques in manufacturing, testing, or hardware optimization is a major ...

Hunter Industries

Tooling Apprentice

San Marcos, CA · On-site

Throughout this program, you will gain hands-on experience in machining precision mold components ... The selection process for this opportunity will include three parts: * 1st round - testing of ...

General Atomics

Engineer III

Poway, CA · On-site

$81K - $141K/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 ...

Apple

Embedded ISP Engineer

San Diego, CA · On-site

... 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 ...

Alutiiq

Software Engineer

San Diego, CA · On-site +1

Experience debugging, testing, and integrating software applications. Knowledge of database ... Experience supporting Machine Learning, Computer Vision, or data science workflows. Familiarity ...

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Apprentice Machine Learning Testing information

See El Cajon, CA salary details

$11

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

As of Jul 14, 2026, the average hourly pay for apprentice machine learning testing in El Cajon, CA is $20.21, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $22.07 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.

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Apprentice Machine Learning Testing jobs near you
Senior Machine Learning Software Engineer

Senior Machine Learning Software Engineer

Qualcomm

San Diego, CA • On-site

$130K - $171K/yr

Full-time

Posted 21 days ago

Qualcomm rating

9.6

Company rating: 9.6 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

5th of 209 rated software companies

Job description

Job Summary:
Qualcomm Technologies, Inc. is a leading company in the engineering sector, focusing on machine learning engineering. They are seeking a Senior Machine Learning Software Engineer to independently design, implement, and verify software for various embedded systems, optimize machine learning frameworks, and collaborate with hardware teams.
Responsibilities:
• independently plans, performs the moderately-defined responsibility for the designing, implementing and verification of software, typically C or C++ or Python, to enable audio, camera, graphics, video, sensors, wireless and other functionality for various operating systems running on ARM processors and other embedded HW like DSP processors, or GPU processors that are embedded into mobile, edge, auto and IOT products
• integration, testing and performance optimization for embedded software subsystems
• implementation of new tools
• developing optimized software, such as ML kernels or tools like compilers, to make use of specific HW features
• working closely with HW teams for joint design/development
• may need to work with and/or optimize ML software frameworks like TensorFlow or PyTorch to efficiently run ML algorithms on HW
• coordinates dependencies with other teams
• developing tools to improve the process
• assisting with the verification of the deliverables
• acts as a strong contributor at design reviews and project meetings.
Qualifications:
Required:
• Master's Degree (or foreign academic equivalent) in Electrical Engineering, Computer Engineering, Computer Science or related degree field
• Experience in designing, implementing and verification of software, typically C or C++ or Python
• Experience with audio, camera, graphics, video, sensors, wireless and other functionality for various operating systems running on ARM processors and other embedded HW like DSP processors, or GPU processors
• Experience in integration, testing and performance optimization for embedded software subsystems
• Experience in developing optimized software, such as ML kernels or tools like compilers
• Experience working closely with HW teams for joint design/development
• Experience with ML software frameworks like TensorFlow or PyTorch
Company:
Qualcomm designs wireless technologies and semiconductors that power connectivity, communication, and smart devices. Founded in 1985, the company is headquartered in San Diego, USA, with a team of 10001+ employees. The company is currently Late Stage.

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About Qualcomm

Sourced by ZipRecruiter

Qualcomm is enabling a world where everyone and everything can be intelligently connected. You interact with products and technologies made possible by Qualcomm every day, including 5G-enabled smartphones that double as pro-level cameras and gaming devices, smarter vehicles and cities, and the technology behind the smart, connected factories that manufactured your latest purchase. Our powerful connectivity solutions keep you connected—even in remote areas. Qualcomm 5G and AI innovations are the power behind the connected intelligent edge. You’ll find our technologies behind and inside the innovations that deliver significant value across multiple industries and to billions of people every day.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

San Diego, CA, US

Year founded

1985

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