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Apprentice Machine Learning Testing Jobs in Waltham, MA

Rockstar Games

Senior Machine Learning Engineer

Andover, MA · On-site

$105K - $145K/yr

They are seeking a Senior Machine Learning Engineer to join their Analytics team, focusing on ... testing, and metrics frameworks to measure real impact. • Perform timely Root Cause Analysis to ...

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Apprentice Machine Learning Testing information

See Waltham, MA salary details

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

As of Jun 29, 2026, the average hourly pay for apprentice machine learning testing in Waltham, MA is $20.89, according to ZipRecruiter salary data. Most workers in this role earn between $17.64 and $22.84 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 Waltham, MA look for? The top searched job categories for Apprentice Machine Learning Testing jobs in Waltham, MA are:
Apprentice Machine Learning Testing jobs near you
Research Principal Engineer, Machine Learning

Research Principal Engineer, Machine Learning

Waters Corporation

Milford, MA • On-site

Full-time

Posted 11 days ago

Key responsibilities

  • Source and configure AI/ML capabilities into scientific and engineering workflows to accelerate research and innovation.

  • Serve as technical lead or team lead for key AI/ML applied research projects, providing technical direction and hands-on leadership.

  • Mentor scientists, engineers, interns, and members of the AI/ML champion network within the Global Research organization.

Job description

Waters Corporation is seeking a Principal AI Solutions Engineer to drive the adoption and integration of artificial intelligence and machine learning across the Global Research organization. This role will be central to transforming how research is conducted by embedding AI/ML directly into diverse scientific and engineering workflows, such as software and algorithm development, CAD engineering design, and the formulation of chemistry experiments. The successful candidate will be able to source and configure AI solutions and initiate new ways of working in order to accelerate discovery, improve productivity, and increase innovation yield across all Waters technologies.

In addition to serving as the senior AI/ML technical authority within Global Research, this individual will act as a Team Lead for key research programs within the Global Research portfolio, providing technical direction, mentoring, and handson leadership for highimpact, AIenabled research initiatives. The role requires close collaboration with scientists and engineers globally and a strong onsite presence in Milford, MA to enable effective change management and sustained adoption.


AI/ML Transformation Leadership

  • Identify highvalue opportunities where AI/ML can accelerate research, reduce cost, expand design space, or improve decisionmaking in Global Research processes
  • Source and configure AI/ML capabilities into existing research and engineering workflows, including mechanical and electrical engineering design, chemistry and other scientific research and software and algorithm development
  • Support the use of AI/ML to unlock institutional knowledge from internal data and documentation
  • Establish best practices, standards, and metrics to ensure successful and measurable AI/ML adoption
  • Help establish training materials, documentation, and ongoing learning programs to sustain longterm capability growth

AI/ML Research Leadership

  • Apply advanced techniques such as Bayesian optimization, surrogate modeling, generative modeling, and datadriven experimental design
  • Serve as technical lead or team lead for key AI/ML applied research projects spanning multiple Waters technology platforms
  • Mentor scientists, engineers, interns, and members of the AI/ML champion network, spanning Global Research sites in Milford, MA, Wilmslow, UK, and Bangalore, India

Education & Experience

  • PhD or MS in Machine Learning, Computer Science, Engineering, Physics, Chemistry, or a related quantitative discipline, or equivalent industry experience
  • 8+ years of experience applying machine learning in research, engineering, or advanced technology development environments
  • 1+ years of experience learning cutting edge AI technologies and optimizing software development, engineering design or other discipline with on market and/or custom AI capabilities

Technical Skills

  • Expertise in machine learning and applied data science
  • Strong proficiency in Python and common ML frameworks (e.g., PyTorch, TensorFlow, scikitlearn)
  • Experience building endtoend ML pipelines, including data preparation, modeling, validation, and deployment

Leadership & Collaboration

  • Demonstrated ability to lead complex technical initiatives and influence senior scientists and engineers
  • Strong communication skills, with the ability to explain AI and ML concepts to nonML audiences
  • Experience mentoring and guiding crossfunctional teams

Preferred Qualifications

  • Experience with scientific instrumentation, chemistry, or life sciences
  • Prior experience leveraging AI/ML within R&D organization processes
  • Familiarity with change management in technical or research settings

Why Join Waters

This role offers a unique opportunity to shape the future of research at Waters by enabling AIdriven discovery and innovation across the Global Research organization. You’ll have a direct impact on timetomarket, research productivity, and longterm technology leadership.

We know that sometimes the perfect candidate does not exist, and that people can be put off applying for a job if they do not fit all the requirements. If you are excited about working for us and have most of the skills or experience we are looking for, please go ahead and apply. You could be just what we need! We believe strongly in the value of diversity and creating supportive, inclusive environments where our colleagues can succeed. As such, Waters is proud to be an Equal Opportunity Employer and is committed to maintaining a diverse and inclusive work environment.


Waters Corporation (NYSE:WAT)  is a global leader in life sciences and diagnostics, dedicated to accelerating the benefits of pioneering science through analytical technologies, informatics, and service. With a focus on regulated, high-volume testing environments, our innovative portfolio harnesses deep scientific expertise across chemistry, physics, and biology. We collaborate with customers around the world to advance the release of effective, high-quality medicines, ensure the safety of food and water, and drive better patient outcomes by detecting diseases earlier, managing routine infections, and combating antibiotic resistance. Through a shared culture of relentless innovation, our passionate team of ~16,000 colleagues turn scientific challenges into breakthroughs that improve lives worldwide.  

Diversity and inclusion are fundamental to our core values at Waters Corporation. It benefits our employees, our products, our customers and our community. Waters complies with all applicable federal, state, and local laws. Qualified applicants are considered without regard to sex, race, color, ancestry, national origin, citizenship status, religion, age, marital status (including civil unions), military service, veteran status, pregnancy (including childbirth and related medical conditions), genetic information, sexual orientation, gender identity, legally recognized disability, domestic violence victim status, or any other characteristic protected by law. Waters is proud to be an equal opportunity workplace and is an affirmative action employer. All hiring decisions are based solely on qualifications, merit, and business needs at the time.


Machine Learning, Innovation, AI, ML, Research, Engineering

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