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Apprentice Machine Learning Testing Jobs in Wantagh, NY

Warnerbros

Machine Learning Engineer I

New York, NY · On-site

$106K - $146K/yr

CNN is seeking a Machine Learning Engineer I to build and deploy ML systems that power ... Implement rigorous experimentation and A/B testing frameworks to validate model performance and ...

Headspace

Principal Machine Learning Engineer

New York, NY · On-site +1

$207K - $258K/yr

Machine Learning at Headspace is a dynamic and innovative group whose mission is to improve the ... Experience with unit, integration, and end-to-end testing, version control * Strong problem solving ...

Headspace

Staff Machine Learning Engineer

New York, NY · On-site +1

$179K - $224K/yr

About the Staff Machine Learning Engineer at Headspace: The AI & Machine Learning group at ... Experience with unit, integration, and end-to-end testing, version control * Strong problem solving ...

Capital One

Sr. Lead Machine Learning Engineer

New York, NY · On-site +1

$112K - $147K/yr

Sr. Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE) , you'll be ... Solve complex problems by writing and testing application code, developing and validating ML models ...

Attentive

Senior Machine Learning Engineer

New York, NY · On-site

$244K - $320K/yr

As a Senior Machine Learning Engineer, you will play a critical role in building, scaling, and ... Proactively safeguard model and system quality through testing, monitoring, validation, and ...

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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 Jun 28, 2026, the average hourly pay for apprentice machine learning testing in Wantagh, NY is $19.68, according to ZipRecruiter salary data. Most workers in this role earn between $16.63 and $21.49 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 job categories do people searching Apprentice Machine Learning Testing jobs in Wantagh, NY look for? The top searched job categories for Apprentice Machine Learning Testing jobs in Wantagh, NY are:
What cities near Wantagh, NY are hiring for Apprentice Machine Learning Testing jobs? Cities near Wantagh, NY with the most Apprentice Machine Learning Testing job openings:
Apprentice Machine Learning Testing jobs near you
Machine Learning Engineer I

Machine Learning Engineer I

Warnerbros

New York, NY • On-site

$106K - $146K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 8 days ago

Job description

Welcome to Warner Bros. Discovery... the stuff dreams are made of.

Who We Are...

When we say, "the stuff dreams are made of," we're not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD's vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what's next...

From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.

We are the now and the next. The power behind the people building the future. We are born from the spirit of innovation. We are created from the idea that people around the world want more, need more, deserve more. We are the home of the global digital revolution. We are CNN.

To see what it's like to work atCNN, follow @WBDLife onInstagramandX!

We are CNN. THE WORLD'S MOST ESSENTIAL AND ENGAGING SOURCE OF DIGITAL NEWS.
We are in the midst of rapid transformation and need our next generation of innovators, makers, and dreamers who will lead and drive our growth. We aim to make the world a better, more connected place.


About CNN Digital

CNN Digital is a global leader in news and information, reaching millions of users daily across web, mobile, and connected TV platforms. Our ML/AI team works at the intersection of journalism, technology, and user experience, building systems that help people discover and engage with the news that matters to them.

Your New Role...

CNN is seeking a Machine Learning Engineer I to build and deploy ML systems that power personalization, search, recommendations, and content understanding for millions of users across CNN's digital platforms. You will work onproductionML systems with measurable product impact, collaborating with cross-functional teams of engineers, data scientists, product managers, and editorial staff.

Your Role Accountabilities...

  • Build and deploy full-lifecycle machine learning systems in Python for CNN digital products, including personalization, search, recommendations, and content understanding

  • Develop and maintain production ML pipelines, including feature engineering, model training, evaluation, and serving infrastructure

  • Implement rigorous experimentation and A/B testing frameworks to validate model performance and product impact

  • Optimize ML systems for real-time, web-scale performance serving millions of users

  • Partner with platform and infrastructure teams to ensure ML systems meet reliability, scalability, and performance standards

  • Contribute to code reviews, documentation, and team knowledge sharing

Qualifications & Experience...

Required Qualifications:

  • Graduate degree (MS or PhD) in Computer Science, Mathematics, Statistics, Engineering, or a related quantitative field

  • 1+ years of professional experience building and deploying machine learning systems in production environments

  • Strong Python programming skills and experience with machine learning frameworks (e.g., scikit-learn or similar)

  • Experience across the full ML lifecycle, including data preprocessing, feature engineering, model training, evaluation, and deployment

  • Solid understanding of software engineering best practices, including version control, testing, and CI/CD

  • Ability to collaborate effectively with cross-functional partners

  • Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders

Preferred Experience:

  • Experience working on large-scale consumer internet products (e.g., social, streaming, e-commerce, media)

  • Hands-on experience with recommendation systems, search, NLP, or information retrieval

  • Familiarity with data pipelines, feature stores, or embedding infrastructure

  • Experience with experimentation platforms, A/B testing, and experimentation analysis

  • Knowledge of cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes)

  • Interest in generative AI applications and/or the media and news industry

Technical Skills:

  • Languages: Python (required), SQL

  • ML Frameworks: scikit-learn or similar

  • Tools: Git, MLflow or similar MLOps tools

  • Data: Experience working with large datasets, distributed processing, and feature engineering

  • Deployment: REST APIs, model serving, monitoring, and observability

How We Get Things Done...

This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.

Championing Inclusion at WBD

Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law.

If you're a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.

In compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required. Actual salaries will vary based on several factors, including but not limited to external market data, internal equity, location, skill set, experience, and/or performance. Base pay is just one component of Warner Bros. Discovery's total compensation package for employees. Pay Range: $99,400.00 - $184,600.00 salary per year. Other rewards may include annual bonuses, short- and long-term incentives, and program-specific awards. In addition, Warner Bros. Discovery provides a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, a retirement savings plan, paid holidays and sick time and vacation.

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