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Apprentice Machine Learning Testing Jobs in Ridge, NY

Festo SE & Co. KG

AI Engineer Intern

Islandia, NY · On-site

Key Responsibilities: * Assist in the development, testing, and deployment of AI-enabled ... Machine Learning projects * Prompt engineering * AI workflow automation * Preferred experience ...

Varsity Tutors

IBEW Tutor

Bridgeport, CT · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of IBEW apprenticeship aptitude test content covering reading comprehension ...

Socket.dev

Test Engineer

Stratford, CT · On-site

$70 - $95/hr

Utilizes artificial intelligence (AI) and machine learning-based tools to analyze test data ... Fluent in LabVIEW/Test Stand and In Circuit Testing. * Able to modify existing and write new test ...

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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 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.

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Apprentice Machine Learning Testing jobs near you

Engineer- Embodied AI Lab Automation: Vision-Guided Real Time Robotic Manipulation

Brookhaven Science Associates, LLC

Upton, NY • On-site

$71.90 - $119/hr

Other

Posted 3 days ago

New

Job description

Job Overview

Brookhaven National Laboratory’s National Synchrotron Light Source II (NSLS-II) is seeking an engineer to develop an automated protein crystal harvesting system at the Center for BioMolecular Structure (CBMS). This 2‑year term position offers the possibility of renewal based on performance and funding availability.

Responsibilities
  • Develop and implement vision‑guided real‑time robotic manipulation methods for crystal harvesting.
  • Design and deploy closed‑loop perception and control pipelines using visual feedback.
  • Contribute to vision‑based servoing approaches for precise, real‑time positioning.
  • Integrate perception outputs with motion planning and execution using ROS2 and MoveIt2.
  • Perform system calibration (hand‑eye calibration, camera calibration) to ensure accurate 3D spatial alignment.
  • Evaluate and improve system robustness, including perception uncertainty and failure modes.
  • Collaborate closely with domain experts across crystallography, controls, and engineering.
  • Participate in system testing, tuning, and performance evaluation.
  • Document methods and results; contribute to reports, publications, and presentations.
Required Knowledge, Skills, and Abilities
  • B.S. in Robotics, Computer Science, Physics, Applied Mathematics, Mechanical Engineering, Electrical Engineering, or a related field.
  • Demonstrated experience developing and implementing robotics systems.
  • Strong programming skills in Python and/or C++.
  • Knowledge of robotic kinematics, coordinate transformations, motion planning, and trajectory generation.
  • Proficiency with calibration methods.
Preferred Knowledge, Skills, and Abilities
  • M.S. in Robotics, Computer Science, Physics, Applied Mathematics, Mechanical Engineering, Electrical Engineering, or a related field.
  • Experience developing robotic systems that integrate vision‑guided control in real‑world settings.
  • Proficiency with ROS2‑based ecosystems.
  • Experience with camera calibration, hand‑eye calibration, and coordinate frame registration.
  • Experience integrating machine learning models into robotics.
  • Familiarity with micro‑manipulation, sensor fusion or state estimation, real‑time system debugging, and performance tuning.
Success Measures
  • Development of a system capable of reliably detecting and localizing protein crystals.
  • Implementation of closed‑loop robotic manipulation using visual feedback.
  • Improved robustness and reliability of the crystal harvesting process under real‑world conditions.
Location & Compensation

On‑site position based at Brookhaven National Laboratory, Upton, New York. Salary range: $71,900—$119,000 per year, commensurate with experience. Benefits are available to all employees and details are provided upon request.

Equal Opportunity

Brookhaven National Laboratory is an Equal Employment Opportunity Employer and is committed to fostering a respectful and collaborative environment. All qualified individuals are encouraged to apply. Discrimination based on race, color, religion, sex, national origin, age, disability, or any other protected status is prohibited.

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