ZipRecruiter

Log In

1

Apprentice Machine Learning Testing Jobs in Oceanside, CA

Qualcomm

Principal Engineer/Manager

San Diego, CA · On-site

Engineering Group, Engineering Group > Machine Learning Engineering General Summary: Auto AI ... teams through testing, data analytics, and validation of design; defines specifications for ...

Apple

Embedded ISP Engineer

San Diego, CA

$139.50K - $258.10K/yr

... 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 ...

Qualcomm

Principal Engineer

San Diego, CA · On-site

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 ...

Premier Business Support

Data Scientist

San Diego, CA · On-site

$30 - $35/hr

Develop, train and deploy machine learning models including image recognition/computer vision ... Lead model validation, testing and performance monitoring to ensure accuracy and reliability.

Qualcomm

Data Scientist, Senior

San Diego, CA · On-site

Build predictive models and machine-learning algorithms to forecast future trends and outcomes ... Participates in the design, coding for large features, unit testing, significant debugging fixes ...

Mayvin, Inc

Data Scientist III

San Diego, CA

Apply data mining, modeling, NLP, and machine learning to large datasets * Visualize, interpret ... Experience with software integration or testing including test plans and scripts * Experience using ...

Kros-Wise

Senior Data Scientist

San Diego, CA · On-site

$160K - $200K/yr

Machine learning libraries such as scikit-learn, TensorFlow, PyTorch, or XGBoost * Data ... Strong understanding of model operationalization, A/B testing, and production monitoring

Kros-Wise

Senior Data Scientist

San Diego, CA · On-site

$160K - $200K/yr

Machine learning libraries such as scikit-learn, TensorFlow, PyTorch, or XGBoost * Data ... Strong understanding of model operationalization, A/B testing, and production monitoring

Kros-Wise

Senior Data Scientist

San Diego, CA · On-site

Machine learning libraries such as scikit-learn, TensorFlow, PyTorch, or XGBoost * Data ... Strong understanding of model operationalization, A/B testing, and production monitoring

next page

Showing results 1-20

People also search for

All JobsApprentice Machine Learning Testing JobsApprentice Machine Learning Testing Jobs in Oceanside, CA

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 30, 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:
Apprentice Machine Learning Testing jobs near you
Sr Software Engineer, AI Tools - Python Pipeline

Sr Software Engineer, AI Tools - Python Pipeline

Qualcomm

San Diego, CA • On-site

$130.10K - $171.50K/yr

Full-time

Posted 9 days ago

Job description

Company:
Qualcomm Technologies, Inc.
Job Area:
Engineering Group, Engineering Group > Machine Learning Engineering
General Summary:
As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation AI experiences and drive agentic transformation, creating a smarter, connected future for all. As a Qualcomm Machine Learning Engineer, you will develop and implement cutting-edge tools and solutions to enable state-of-the-art AI solutions across various technology verticals.
In this position you will be responsible for the software design and development of a Pipeline AI for preparing and executing AI models on Qualcomm products for Mobile, Compute, Automotive, IOT, and XR products. You will participate in the agentic transformation of Qualcomm's development and tooling workflows. You will have the opportunity to show your passion for software design and development with your analytical, design, programming, and debugging skills.
All Qualcomm employees are expected to actively support diversity on their teams, and in the Company.
This role is open in both San Diego, CA and Raleigh, NC.
Minimum Qualifications:
• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
Master's degree in Computer Science, Engineering, Information Systems, or related field and 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Science, Engineering, Information Systems, or related field.
Responsibilities
  • Design, develop, and maintain Python-based pipeline tooling that supports AI model ingestion, transformation, quantization, execution, and validation.
  • Collaborate with cross-functional teams within the AI Software team and across AI Research and Qualcomm Business Units.
  • Validate and optimize the performance and correctness of pipeline software through detailed analysis and testing of machine learning use cases.
  • Develop a deep knowledge of AI model tools and workflows. Participate in design and code reviews.
  • Debug complex issues, perform root cause analysis, and ensure high system reliability.
  • Contribute to the team's adoption of agentic AI workflows - leveraging tools such as Claude code - to build skills, automate and improve development, testing, and pipeline orchestration activities. The future is agentic!
  • Work independently and lead junior team members. Your decision-making will impact your direct area of work and the work group.

Minimum Qualifications
  • Bachelor's degree or equivalent in Engineering, Information Systems, Computer Science, or related field
  • 4+ years software development experience using Python and/or C/C++
  • Strong software development skills (e.g. data structure and algorithm design, object oriented or other software design paradigm knowledge, software debugging and testing, etc.)
  • Strong communication skills (verbal, presentation, written)
  • Foundational knowledge of Machine Learning and Deep Learning
  • Experience working with one of the Deep Learning frameworks like PyTorch, TensorFlow, ONNX, JAX
  • Strong desire to learn, contribute and collaborate!

Preferred Qualifications
  • 2+ years Python programming experience building production-quality tooling or pipelines
  • Experience with CI/CD systems and pipeline orchestration tools (e.g. GitHub Actions, Jenkins, Airflow)
  • Familiarity with GenAI model architectures - LLM, LVM, LMM
  • Experience with optimizing software, specifically AI graph workloads, for embedded platforms
  • Familiarity with agentic AI frameworks (e.g. Claude Code) and experience applying them to automate code development
  • Ability to collaborate across a globally diverse team and multiple interests

Education Requirements
  • Required: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.
  • Preferred: Master's in Computer Science or Computer Engineering

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
Pay range and Other Compensation & Benefits:
$140,800.00 - $211,200.00
The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer - and you can review more details about our US benefits at this link.
If you would like more information about this role, please contact Qualcomm Careers.
Qualcomm logo

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

View All Qualcomm Jobs

Apply