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Apprentice Machine Learning Testing Jobs in Anaheim, CA

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AI/ML Architect

Los Angeles, CA · On-site

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

TikTok

Product Manager - USDS

Los Angeles, CA · On-site

... machine learning. • Have a deep understanding of machine learning model development and ... design, A/B testing and go-to-market. • Define the long-term product roadmap and OKRs ...

TSMG

AI/ML Data Contributor

Los Angeles, CA · On-site

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

TSMG

AI/ML Data Contributor

Los Angeles, CA · On-site

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

TSMG

AI/ML Data Contributor

Los Angeles, CA · On-site

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

TSMG

AI/ML Data Contributor

Los Angeles, CA

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

TSMG

AI/ML Data Contributor

Los Angeles, CA

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

TSMG

AI/ML Data Contributor

Los Angeles, CA

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

TSMG

AI/ML Data Contributor

Los Angeles, CA · Remote

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

TSMG

AI/ML Data Contributor

Los Angeles, CA · Remote

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

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

Apprentice Machine Learning Testing information

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

As of Jun 9, 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 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 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:
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Apprentice Machine Learning Testing jobs near you
Principal Machine Learning Engineer (Personalization, Matchmaking, & Player Experience AI) - Publ...

Principal Machine Learning Engineer (Personalization, Matchmaking, & Player Experience AI) - Publ...

Riot Games

Los Angeles, CA • On-site

Full-time

Medical, Dental, Life, Retirement, PTO

Posted 19 days ago

Job description

Riot Data Scientists combine their wide technical expertise across data processing, automation, machine learning ("ML"), artificial intelligence ("AI"), and experimental design to inform decisions and develop data-powered products.
As a Principal Machine Learning Engineer on the Publishing Platform Data team, you will define and drive the modeling architecture that powers personalization, matchmaking, and social experiences across Riot's player ecosystem. You'll partner closely with Product, Data Engineering, and Software Engineering to transform large-scale social graph, matchmaking, and behavioral data into adaptive, fair, and player-centric AI systems. Your work shapes how players connect, discover communities, and experience matchmaking that feels meaningful and equitable.
Responsibilities:
  • Define and lead the modeling architecture for personalization, matchmaking, social graph recommendations, and player/community discovery.
  • 'Architect multi-model systems combining skill, preference, trust, and safety signals for fair and meaningful matchmaking
  • Develop models for skill inference, player behavior prediction, trust & safety signals, and multi-objective optimization across fairness, latency, and experience quality.
  • Build and optimize real-time inference systems for personalized content, store offers, matchmaking, and player interactions at global scale.
  • Drive adoption of advanced modeling approaches including contextual bandits, reinforcement learning, graph ML, and session-aware personalization.
  • Partner with Data Engineering and Product to shape data schemas, feature pipelines, telemetry standards, and model observability across the ML lifecycle.
  • Define Responsible AI standards and implement fairness audits, bias mitigation, transparency, and safety mechanisms for matchmaking and social systems.
  • Lead post-launch evaluations of algorithmic impact on player sentiment, community health, and ecosystem stability.
  • Set organization-wide standards for model optimization (latency, throughput, memory), multi-model orchestration, and drift detection.
  • Mentor senior ML engineers and data scientists, influencing system design, experimentation strategy, and modeling craft across organizations.
  • Represent the ML discipline in cross-functional design reviews, driving alignment on technical decisions, data contracts, and long-term strategy
Required Qualifications:
  • 10+ years in ML/Applied AI; 3+ years in principal/staff-level technical leadership.
  • Experience with large-scale, real-time ML systems (recommendations, personalization, matchmaking).
  • Expertise in graph ML, RL, and representation learning.
  • Proficiency in PyTorch, TensorFlow, JAX, and modern data/serving tools (Ray, Kafka, Flink, Redis).
  • Strong grounding in A/B testing, experiment design, and experience metrics.
  • Track record of setting ML strategy and standards across teams.
Desired Qualifications:
  • Professional background in gaming, player modeling, or social ecosystems.
  • Experience with trust & safety, toxicity detection, or community health models.
  • Familiarity with Vertex AI, SageMaker, or internal large-scale inference systems.
  • Experience integrating ML systems with live-service game backends.

For this role, you'll find success through craft expertise and a collaborative spirit that prioritizes the delight of players. We will look at your past studies and experience, but for this role, we also look for dedicated people with a personal relationship with games. If you embody player empathy and care about players' experiences, this is the role for you!
Our Perks:
Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information.
At Riot Games, we put players first. That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you're working directly on a new player-facing experience or you're supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we're better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we're looking forward to your application.
It's our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act.
Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories:
  • Safeguarding confidential and sensitive Company data
  • Communication with others, including Rioters and third parties such as vendors, and/or players, including minors
  • Accessing Company assets, secure digital systems, and networks
  • Ensuring a safe interactive environment for players and other Rioters

These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.
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About Riot Games

Sourced by ZipRecruiter

Riot Games was founded in 2006 by Brandon Beck and Marc Merrill with the intent to change the way video games are made and supported for players. In 2009, Riot released its debut title League of Legends to worldwide acclaim. The game has since gone on to become the most played PC game in the world and a key driver of the explosive growth of esports. Players are the foundation of our community and it's for them we continue to evolve and improve the League of Legends experience.

Industry

Computer and electronic product manufacturing

Company size

1,001 - 5,000 Employees

Headquarters location

Los Angeles, CA, US

Year founded

2006

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