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Apprentice Machine Learning Testing Jobs in Ridge, NY

Cloud AI Engineer, Lead

Holtsville, NY · Hybrid

$56.50 - $75.75/hr

... testing. * Active professional-level cloud certifications are highly preferred, such asGoogle Cloud Professional Cloud Architect, Google Cloud Professional Machine Learning Engineer or AI Engineer ...

Proactively research, evaluate, and implement emerging Artificial Intelligence (AI) and Machine Learning (ML) techniques to continuously improve EE design, testing, and system optimization processes

New

Medical Assistant

Smithtown, NY · On-site

$18 - $23/hr

... up machines and testing equipment, and cleaning instruments and rooms as needed. The ideal candidate has strong customer service skills, an interest in learning more about a working medical ...

Medical Assistant

Smithtown, NY · On-site

$18 - $23/hr

... up machines and testing equipment, and cleaning instruments and rooms as needed. The ideal candidate has strong customer service skills, an interest in learning more about a working medical ...

Medical Assistant

Riverhead, NY · On-site

$18 - $25/hr

... up machines and testing equipment, and cleaning instruments and rooms as needed. The ideal candidate has strong customer service skills, an interest in learning more about a working medical ...

Medical Assistant

Bohemia, NY · On-site

$18 - $25/hr

... up machines and testing equipment, and cleaning instruments and rooms as needed. The ideal candidate has strong customer service skills, an interest in learning more about a working medical ...

Medical Assistant

Smithtown, NY · On-site

$18 - $23/hr

... up machines and testing equipment, and cleaning instruments and rooms as needed. The ideal candidate has strong customer service skills, an interest in learning more about a working medical ...

Perform service of equipment including inspecting and testing systems to verify functionality ... Participate in available training through regional technician trainers, and off-site learning ...

Perform service of equipment including inspecting and testing systems to verify functionality ... Participate in available training through regional technician trainers, and off-site learning ...

Showing results 41-60

Apprentice Machine Learning Testing information

See Ridge, NY salary details

$10

$19

$27

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

As of Aug 21, 2026, the average hourly pay for apprentice machine learning testing in Ridge, NY is $19.14, according to ZipRecruiter salary data. Most workers in this role earn between $16.15 and $20.91 per hour, depending on experience, location, and employer.

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 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 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 Ridge, NY?

For Apprentice Machine Learning Testing jobs in Ridge, NY, the most frequently searched job titles are:

What job categories do people searching Apprentice Machine Learning Testing jobs in Ridge, NY look for?

The top searched job categories for Apprentice Machine Learning Testing jobs in Ridge, NY are:

What cities near Ridge, NY are hiring for Apprentice Machine Learning Testing jobs?

Cities near Ridge, NY with the most Apprentice Machine Learning Testing job openings:

Cloud AI Engineer, Lead

Zebra Technologies

Holtsville, NY • Hybrid

$56.50 - $75.75/hr

Full-time

Medical, PTO

Posted 24 days ago


Zebra Technologies rating

7.5

Company rating: 7.5 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

85th of 159 rated electronics manufacturers


Job description

Overview:

At Zebra, we are a community of innovators who come together to create new ways of working. United by curiosity and a culture of caring, we develop smart solutions that anticipate our customer's and partner's needs and solve their challenges.

Being part of Zebra Nation means you are seen, heard, valued, and respected. Drawing from our unique perspectives, we collaborate to deliver on our purpose. Here you are part of a team pushing boundaries today to redefine the work of tomorrow for organizations, their employees, and those they serve.

You'll have opportunities to learn and lead in a forward-thinking environment, defining your path to a fulfilling career while channeling your skills toward causes you care about-locally and globally.

Come make an impact every day at Zebra.

What We're Looking For:

The Cloud AI Engineer, Lead plays a critical role in driving innovation across Zebra's IT Platform Engineering, Cloud Security, and Artificial Intelligence initiatives. Acting as a hands-on technical architect and strategic trailblazer, you will partner with key stakeholders to identify opportunities, translate ideas into actionable solutions, and deliver value through rapid proofs of concept. This role focuses heavily on designing, building, and scaling our next-generation cloud-native AI platforms, AI-powered log intelligence (AIOps), and semantic developer tooling.

Location: This is a hybrid position requiring a minimum of three days per week on-site at either our Lincolnshire, IL, or Holtsville, NY office.

Essential Duties/Responsabilities:

  • Identify and evaluate emerging innovation opportunitiesacross Platform Engineering and Cloud Infrastructure functions, matching business needs with cutting-edge technology solutions.
  • Conduct comprehensive business and systems analyses, translating complex technical findings into clear user stories, system requirements, and actionable solution concepts.
  • Coordinate and execute Proof of Concepts (PoCs)and hands-on delivery activities to rapidly validate and advance cloud and platform innovation initiatives.
  • Research, analyze, and report on disruptive technologies-such as Generative AI, Machine Learning (ML), Robotic Process Automation (RPA), and Virtual Agents-providing strategic recommendations for corporate adoption.
  • Act as the primary IT Cloud Innovation Liaison, driving cross-functional collaboration and alignment with other innovation and product teams across Zebra.
  • Plan, coordinate, and facilitate structured ideation workshops, fostering a culture of collaborative brainstorming and innovative problem-solving.
  • Serve as an active Innovation Evangelistwithin IT and the broader enterprise, promoting modern engineering methodologies and pushing the boundaries of cloud-native possibilities.
  • Track, analyze, and report key performance indicators (KPIs), ensuring leadership has complete visibility into the progress, and business outcomes of all innovation initiatives.
  • Establish and maintain a repeatable operating modelfor cloud-native AI/ML deployment, ensuring all initiatives consistently address pipeline architecture, performance metrics, and compliance guidelines across GCP and Azure.
  • Lead and mentor a high-performing teamof cloud and AI platform engineers, guiding their professional evolution toward predictive log analytics, automation (AIOps), and robust cloud data readiness.
  • Translate complex AI governance, cloud security guardrails, and regulatory requirementsinto practical technical specifications, partnering directly with systems engineers to integrate PII masking and RBAC into automated CI/CD pipelines.
  • Manage roadmap alignment within assigned technology portfolios.


Minimum Qualifications:

  • Bachelor's degree in Computer Science, Electronic Engineering, Computer Engineering, or related field.
  • 5+ years experience working on an operations style team (NOC, SOC, MOC, etc.) and troubleshooting networking, service desk, operations center and/or supporting cloud based Infrastructure.
  • Hands-on Google Gemini Enterprise Expertise:Demonstrated experience working with Google Gemini Enterprise, with a proven ability to build and deploy custom agents using theAgent Development Kit (ADK).
  • Multi-Cloud & GenAI Platform Proficiency:Deep familiarity with leading cloud platforms and generative AI solution providers, includingGoogle Cloud Platform (GCP),Azure,OpenAI, andAnthropic.
  • Experience working in a global, heterogeneous, cloud and on-prem environment.
  • Practical knowledge of, or deep technical curiosity to develop, hands-on solutions involving Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) architectures, andagentic AI patterns(including Model Context Protocol [MCP], tool calling, and orchestration frameworks).
  • Expertiseinscripting or programming languages (e.g., Python) for automation or testing is a plus; software development background is welcomed.
  • Proven track record of deploying containerized AI solutions usingKubernetes (GKE/AKS), Docker, and robust CI/CD pipelines, backed by verifiable metrics such as high availability, latency reduction, and infrastructure cost optimization.
  • Comprehensive understanding of enterprise cloud security, application/API security, and fine-grained identity systems, with experience integratingPII maskingand complexRole-Based Access Control (RBAC)frameworks.
  • Strong software development background with advanced scripting capabilities inPython(or similar languages) to drive automation, infrastructure provisioning (IaC), and automated testing.
  • Active professional-level cloud certifications are highly preferred, such asGoogle Cloud Professional Cloud Architect, Google Cloud Professional Machine Learning Engineer or AI Engineer

Preferred Qualifications

  • Some exposure to AI/ML systems, application security, or API security is a plus.
  • Travel up to 10%

Equal Opportunity Employer:

Zebra 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 and protected veteran status, or any other basis prohibited by law. If you are an individual with a disability and need assistance in applying for a position, please contact us at workplace.accommodations@zebra.com.

Know Your Rights:

https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf

Conozca sus Derechos:

https://www.eeoc.gov/sites/default/files/2022-10/22-088_EEOC_KnowYourRightsSp_10_20.pdf

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation at workplace.accommodations@zebra.com .

Pay Range:

$96,800.00 - $145,200.00 Annual

Incentive Compensation:

In addition to base pay, Zebra offers this role the opportunity to earn a performance-based annual cash incentive, at a target equal to 10% of base pay, in accordance with the terms of the applicable incentive plan.

Zebra Total Rewards:

Zebra Total Rewards includes more than just pay and is structured to meet the needs of our changing global business and evolving talent. We are committed to providing our employees with a benefits program that is comprehensive and competitive - including healthcare, wellness, inclusion networks, and continued learning and development offerings. We offer community service days, in addition to the traditional insurances, compensation, parental leave, employee assistance program and paid time off offerings depending on the country where you work.

Salary offered will vary depending on your location, job-related skills, knowledge, and experience.

Additionally, all Zebra roles are eligible for cash incentive programs. For example, sales roles have additional opportunity to earn substantial variable compensation tied to quota achievement. In most other roles, the Zebra annual cash incentive program links Company and individual performance together. Some roles may also be eligible for long-term incentive equity awards.

Benefits:

We understand the importance of work-life balance and wellbeing, which is why we offer flexibility for our teams including: hybrid work, adaptable hours, Summer Flex Fridays, Focus Fridays, and an annual companywide well-being day to promote revitalization and success.

Job Posting Statement:

To protect candidates from falling victim to online fraudulent activity involving fake job postings and employment offers, please be aware our recruiters will always connect with you via @zebra.com email accounts. Applications are only accepted through our applicant tracking system and only accept personal identifying information through that system. Our Talent Acquisition team will not ask for you to provide personal identifying information via e-mail or outside of the system. If you are a victim of identity theft contact your local police department.

AI Technology Statement:

Zebra Technologies leverages AI technology to evaluate job applications using objective, job-relevant criteria. This approach enhances efficiency and promotes fairness in the hiring process. However, every decision regarding interviews and hiring is made by our dedicated team, because we believe people make the best decisions about people. For more on how we use technology in hiring and how we process applicant data, see our Zebra Privacy Policy.


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