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Apprentice Machine Learning Testing Jobs in Anaheim, CA

Machinist Apprentice - Santa Ana, CA DESCRIPTION: The Machinist Apprentice will assist experienced ... This role involves learning machining processes, interpreting technical drawings, and ensuring ...

Data Scientist II

Irvine, CA · On-site +1

$82.57K - $127.49K/yr

Support deployment and lifecycle management of models within Azure Machine Learning, AWS, or similar platforms * Perform model validation, testing, and documentation to ensure quality and ...

Support deployment and lifecycle management of models within Azure Machine Learning, AWS, or similar platforms * Perform model validation, testing, and documentation to ensure quality and ...

Sr. Machine Learning Ops Engineer

Los Angeles, CA · On-site

$112.60K - $154.60K/yr

... testing, validation, and deployment using Databricks Workflows and Asset Bundles • Set up robust CI/CD pipelines for both traditional ML models and GenAI applications, leveraging GitHub Actions ...

Solid understanding of machine learning algorithms and statistical techniques Key Responsibilities ... Conduct A/B testing , forecasting, segmentation, anomaly detection, or recommendation systems as ...

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Apprentice Machine Learning Testing information

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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 Anaheim, CA is $20.27, according to ZipRecruiter salary data. Most workers in this role earn between $17.12 and $22.16 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 Anaheim, CA? For Apprentice Machine Learning Testing jobs in Anaheim, CA, the most frequently searched job titles are:
What job categories do people searching Apprentice Machine Learning Testing jobs in Anaheim, CA look for? The top searched job categories for Apprentice Machine Learning Testing jobs in Anaheim, CA are:
What cities near Anaheim, CA are hiring for Apprentice Machine Learning Testing jobs? Cities near Anaheim, CA with the most Apprentice Machine Learning Testing job openings:
Senior Machine Learning Engineer, Sentry Tower

Senior Machine Learning Engineer, Sentry Tower

Anduril Industries

Irvine, CA • On-site, Remote

$220K - $330K/yr

Full-time

Posted 8 days ago


Anduril rating

9.4

Company rating: 9.4 out of 10

Based on 7 frontline employees who took The Breakroom Quiz


Job description

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century's most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.
About the Team
The Counter Intrusion MSE team develops systems that provide force protection capabilities, monitoring the perimeter of secure areas, land or sea, for approaching people, vehicles, and vessels. We live in a world where security officers are increasingly overwhelmed by sensor data feeds. Our products leverage advanced sensor fusion and autonomy to seamlessly render activity in the environment to Lattice's common operating picture. This relieves operators of our system from a ton of burden and allows our customers to get more done with fewer personnel. Increasingly, Counter Intrusion MLEs are working on projects to bring customers' existing legacy security systems into the Lattice ecosystem. Key to this effort is building scalable software solutions so that we can service many customers without requiring bespoke software for each one. The Counter Intrusion team is responsible for the development, testing, deployment, and sustainment of our family of systems. We work closely with other teams from product, engineering, sales, logistics, operations, and mission success.
About the Role
We are looking for a Machine Learning Engineer to apply the latest research to solve our toughest problems. This role will be responsible for owning the whole machine learning stack for the Counter Intrusion team. You will design and train multi-sensor object detection models for perception on edge compute devices that push the boundaries of what's possible with our sensors. You will develop learning algorithms to optimize the behavior of autonomous systems. You will also be responsible for the end-to-end design, implementation, and performance of the ML stack, including the infrastructure for data collection and training. Your work will directly impact Anduril's ability to deliver cutting-edge defense technology, with the opportunity to identify and develop novel ML applications across our product portfolio.
Responsibilities
  • Propose and prototype innovative solutions to solve real-world problems, leveraging the latest state-of-the-art techniques in the field
  • Develop and maintain core ML pipelines
  • Train and deploy deep learning models for real-time applications
  • Collaborate cross-functionally with camera, systems and labeling teams
  • Curate datasets for evaluating performance and comparing performance trends over time
  • Provide technical mentorship to other junior ML engineers
Required Qualifications
  • MS or PhD in Machine Learning, Robotics or Computer Science, with emphasis on Computer Vision
  • BS in Computer Science, Machine Learning, Electrical Engineering, or related field
  • 6+ years of experience developing, benchmarking and optimizing ML algorithms on large-scale datasets
  • Strong Deep Learning and CV background
  • Proficiency in C++ development in a Linux environment
  • Experience with Python development and deep learning frameworks such as PyTorch, JAX and TensorFlow
  • Experience deploying models with TensorRT and ONNX
  • Optimize on-device inference and vision kernels across CPU/GPU/NPU
  • Track record of developing and deploying CV models from R&D to production
  • Experience writing and maintaining automated continuous integration tests
  • Knowledge of system profiling and tuning for latency, memory and power efficiency
  • Ability to conduct experiments, ablation studies and create highly detailed reports
  • Eligible to obtain and maintain a U.S. Secret security clearance
Preferred Qualifications
  • Experience in one or more of the following:
    • Object Detection, Object Tracking, Instance Segmentation, Semantic Segmentation, Semantic Change Detection, Depth Estimation, Model Pruning and Compression
  • Experience in one or more of the following:
    • Visual Odometry, SLAM, Multi-view Geometry, Camera Models, RGB-D and LIDAR Sensor Fusion, Optical Flow
  • Experience troubleshooting and analyzing remotely deployed software systems
  • 1 year of experience in a technical leadership role

US Salary Range
$220,000-$330,000 USD
The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:
Benefits
At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you're supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits.
Protecting Yourself from Recruitment Scams
Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.
To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:
  • No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates.
  • Please always verify communications:
    • Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address.
    • Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com.
  • Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links.
  • What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com. Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts.

Data Privacy
To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/.
By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.

Anduril Industries logo

About Anduril Industries

Sourced by ZipRecruiter

Anduril Industries is a trailblazer in the technology industry based in Costa Mesa, CA, US. Founded in 2017 by Palmer Luckey, the creator of Oculus VR, the company focuses on developing innovative technology to equip and empower those in the defense sector. Its primary products include cutting-edge autonomous systems and AI software that assist in combating threats to national and global security. The mission of Anduril Industries is to integrate technology and defense by building transformative, scalable solutions that ensure a safer world.

Industry

Guided missile and space vehicle manufacturing

Company size

501 - 1,000 Employees

Headquarters location

Costa Mesa, CA, US

Year founded

2017

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