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Apprentice Machine Learning Testing Jobs in Temecula, CA

... machine learning algorithms, tracking/fusion, autonomous systems, as well as real-time embedded ... System Test : work closely with test leads in the SAAM group to leverage testing capabilities ...

... machine learning algorithms, tracking/fusion, autonomous systems, as well as real-time embedded ... System Test : work closely with test leads in the SAAM group to leverage testing capabilities ...

... machine learning algorithms, tracking/fusion, autonomous systems, as well as real-time embedded ... System Test : work closely with test leads in the SAAM group to leverage testing capabilities ...

... machine learning algorithms, tracking/fusion, autonomous systems, as well as real-time embedded ... System Test : work closely with test leads in the SAAM group to leverage testing capabilities ...

Senior Data Scientist

Carlsbad, CA · On-site

$130K - $150K/yr

Support compliance testing and product certification processes, including FDA AI/ML-enabled device ... Strong expertise in artificial intelligence/machine learning, statistical shape models (or similar ...

Senior Data Scientist

Carlsbad, CA · On-site

$130K - $150K/yr

Support compliance testing and product certification processes, including FDA AI/ML-enabled device ... Strong expertise in artificial intelligence/machine learning, statistical shape models (or similar ...

Senior Data Scientist

Carlsbad, CA · On-site

$130K - $150K/yr

Support compliance testing and product certification processes, including FDA AI/ML-enabled device ... Strong expertise in artificial intelligence/machine learning, statistical shape models (or similar ...

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Apprentice Machine Learning Testing information

See Temecula, CA salary details

$10

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

As of Jun 20, 2026, the average hourly pay for apprentice machine learning testing in Temecula, CA is $19.23, according to ZipRecruiter salary data. Most workers in this role earn between $16.25 and $21.01 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 Temecula, CA? For Apprentice Machine Learning Testing jobs in Temecula, CA, the most frequently searched job titles are:
What job categories do people searching Apprentice Machine Learning Testing jobs in Temecula, CA look for? The top searched job categories for Apprentice Machine Learning Testing jobs in Temecula, CA are:
What cities near Temecula, CA are hiring for Apprentice Machine Learning Testing jobs? Cities near Temecula, CA with the most Apprentice Machine Learning Testing job openings:
Associate Software Engineer

Associate Software Engineer

STR

Carlsbad, CA

$93K - $115K/yr

Full-time

Posted 2 hours ago


Job description

About the Team:

The Sensors Division at STR focuses on technology development for advanced sensor systems and platforms in support of national security. We have a particular focus on airborne/surface/space-based radar, electronic warfare, underwater acoustics, hyperspectral imaging, and EO/IR sensing. We work on full system prototypes, experiment campaigns, and next generation technology components. Specific technical areas include RF analog/digital hardware, acoustic hardware, signal processing algorithms, machine learning algorithms, tracking/fusion, autonomous systems, as well as real-time embedded processor implementation.

The Systems Autonomy, Analysis, and Modeling (SAAM) Group within the Sensors Division uses modeling and simulation (M&S) to analyze system capabilities, develop enabling algorithms, and take these integrated systems through test. We focus on the capabilities and limitations of ground, air, surface, and space sensing and counter-sensing platforms and the resource management of these assets to assure the survivability of US air and space assets. SAAM also leverages the emerging use of autonomy and Artificial Intelligence in uncrewed systems and techniques to collect, fuse, and understand sensor data across full systems of systems to assure mission success. SAAM is developing software and hardware tools and datasets to support these analyses, including algorithms, processing chains, and scenarios to inform and deploy onto both prototype demonstration systems & operational systems. Our main customer focus is on Air Force, Navy, and DARPA research programs.

The Role:

The SAAM group is seeking a Software Engineer to join high-performing teams transforming advanced concepts and algorithms into software implementations for prototypes and operational systems. You will work with scientists and engineers to design and implement algorithmic solutions to challenging national security problems. You will be responsible for enhancing the software architecture required to implement advanced algorithms in real-time hardware. You will also contribute to the development of engineer-facing tools and processes to facilitate long-term software development.

What you will do:

  • Collaboration: work as part of a small, focused team to implement and test real-time applications featuring open architecture software principles
  • System Development: leverage mature hardware systems and develop code to integrate them together, collaborating with SMEs across STR to leverage advanced algorithms where needed
  • System Test: work closely with test leads in the SAAM group to leverage testing capabilities across M&S and live test, leveraging Live-Virtual-Constructive (LVC) infrastructure
  • Customer Engagement: support and brief customers throughout the program lifecycle

Who you are:

  • Self-motivated with demonstrated ability to excel under limited guidance
  • Strong object-oriented programming skills in modern C++
  • Proficient in test-driven development and CI/CD practices
  • Experience with cross-platform development (Windows, Linux, iOS) and version control workflows
  • Proficiency in MATLAB and/or Python
  • BS with 2+ years experience or MS in Computer Science, Computer Engineering, Applied Mathematics, Electrical Engineering, or related field
  • Ability to obtain and maintain a security clearance, for which U.S citizenship is needed by the U.S government

Even Better:

  • Active Secret or Top Secret security clearance
  • 2+ years of experience with open architecture systems such as OMS/UCI and A-GRA
  • Experience with radar or EO/IR systems
  • Familiarity with real-time algorithm optimization, especially for radar or remote sensing applications
  • Experience with software quality tools (static/dynamic analysis, automated testing frameworks)

Pay Information
Full-Time Salary Range: $93,000 - $115,000

The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions.

STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, and Carlsbad, CA. We specialize in advanced research and development for defense, intelligence, and national security in: cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us.

STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer.

STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit us at www.str.us for more info.


STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, genetic information or any other characteristic protected by federal, state or local laws.

If you need a reasonable accommodation for any portion of the employment process, email us at appassist@str.us and provide your contact info.

Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws.