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Apprentice Machine Learning Testing Jobs in Waltham, MA

VideaHealth

Senior Machine Learning Engineer

Boston, MA · On-site

$170K - $205K/yr

About the position: We're looking for a Senior Machine Learning Engineer with deep expertise in ... Strong development skills in Python with testing, CI/CD, and collaborative coding practices.

OneStudyTeam

Senior Machine Learning Engineer

Boston, MA · Remote

$140K - $190K/yr

Familiarity with MLOps best practices such as CI/CD pipelines, automated testing, and monitoring ... Strong understanding of machine learning fundamentals (model selection, training, evaluation ...

Rockstar Games

Senior Machine Learning Engineer

Andover, MA · On-site

$124K - $163K/yr

Rockstar Games is on the lookout for a skilled Senior Machine Learning Engineer with strong ... Set up monitoring, A/B testing, and metrics frameworks to measure real impact. * Perform timely ...

Redhat

Senior Machine Learning Engineer

Boston, MA · On-site +1

$174K - $287K/yr

As a Senior Principal Machine Learning Engineer focused on model optimization algorithms, you will ... What you will do * Contribute to the design, development, and testing of various inference ...

ASUS

Senior Machine Learning Engineer

Boston, MA · On-site +1

$161K - $246K/yr

The ASUS Robotics & AI Center is seeking a Senior Machine Learning Engineer to join our global ... Design and execute experiments, including simulation and real-world field testing, to validate ...

Autodesk

Senior Machine Learning Test Engineer

Boston, MA · On-site +1

$120K - $155K/yr

Job Requisition ID # 26WD98377 Senior Machine Learning Test Engineer Location: United States East ... API Testing * Automate ML QA workflows using Python and CI/CD (e.g., GitHub Actions, Jenkins)

Xometry

Staff Machine Learning Engineer

Waltham, MA · On-site

$200K - $220K/yr

Champion quality and security - Apply best practices in automated testing, parallel and distributed ... machine learning engineering, with a track record of owning and delivering complex ML systems in ...

Xometry

Staff Machine Learning Engineer

Waltham, MA · On-site

Champion quality and security - Apply best practices in automated testing, parallel and distributed ... machine learning engineering, with a track record of owning and delivering complex ML systems in ...

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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 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
Senior Machine Learning Engineer

Senior Machine Learning Engineer

VideaHealth

Boston, MA • On-site

$170K - $205K/yr

Full-time

PTO

Posted 11 days ago

Job description

About us:
Videa is a cutting-edge AI-powered solution for dentistry, developed by a team of seasoned leaders, engineers, AI scientists, and clinicians spun out of MIT. Our vision is to be the first company to diagnose a billion people globally. Our product is already used by thousands of dental clinicians to enhance the quality of care through faster diagnoses, to increase operating efficiencies, and to improve patient understanding.
About the position:
We're looking for a Senior Machine Learning Engineer with deep expertise in some area of ML engineering to join our growing ML team and work closely with our software and computer vision teams. This is an opportunity to design, build, and scale machine learning systems that combine structured clinical data with outputs from our core computer vision models to improve patient care and operational performance.
You'll own end-to-end development of production ML systems, integrate them safely into healthcare workflows, and deploy reliable, interpretable, and monitored models that meet medical-grade standards. Depending on your background, that might mean predictive and tabular modeling, multimodal systems, large-scale training and inference infrastructure, model evaluation and reliability, or another specialty where you bring real depth. You'll work alongside ML scientists, clinical experts, and product engineers to translate real clinical questions into systems that ship and hold up over time.
We're looking for a hands-on builder who's excited to work with real-world clinical data, get models into production, and own them across their full lifecycle. If you care about impact and want to help define the future of applied AI in healthcare, we'd love to meet you.
Key Responsibilities:
  • Design, build, and deploy production ML systems for clinical decision support and operational insight, applying deep expertise from your area of specialty.
  • Develop ML pipelines that integrate structured clinical or EHR data with outputs from computer vision models to power downstream applications.
  • Ensure the calibration, robustness, and interpretability of deployed models, including clear clinician-facing explanations where relevant.
  • Implement monitoring, drift detection, evaluation protocols, and retraining or update workflows for production systems.
  • Partner cross-functionally with product, engineering, clinical, and compliance teams to define requirements and integrate models into live workflows.
  • Contribute to regulatory documentation for ML systems (data descriptions, validation reports, model versioning).
  • Mentor engineers and help establish best practices for applied ML and experimentation.
Requirements
  • 4+ years building and deploying machine learning systems in production, ideally with real-world or clinical data.
  • Deep, demonstrable expertise in at least one area of ML engineering, such as predictive and tabular modeling, multimodal systems, training and inference infrastructure, or model evaluation and reliability, along with the breadth to contribute across the stack.
  • Strong development skills in Python with testing, CI/CD, and collaborative coding practices.
  • Exceptional critical thinking and problem decomposition. Able to turn ambiguous clinical or business questions into measurable hypotheses, design sound experiments, and reason clearly about trade-offs between accuracy, reliability, interpretability, and operational impact.
  • Familiarity with production ML practices, including monitoring data drift, performance over time, and model health.
  • Excellent communication skills and a collaborative, product-oriented mindset.
Preferred
  • M.S. or Ph.D. in a relevant technical field.
  • Experience with healthcare data or regulated ML systems.
  • Background in multimodal or stacked models, especially combining CV outputs with tabular data.
  • Familiarity with survival analysis, time-series, or longitudinal modeling.
  • Open-source contributions or published work in applied ML.
  • Prior leadership or mentorship experience

What We Offer
  • Fast paced and collaborative work culture in which you can gain experience, grow your technical skills and work on a wide variety of challenges over your time with us
  • Competitive pay, equity and benefits (flexible PTO)
  • Agile organization where being senior translates to being a mentor and role model for others. We lead by example.
  • Technical challenges on the leading edge of innovation where software and machine learning intersect.

Videa is supported by some of the best investors in the world, having raised over $67M in Venture Capital from Tier 1 investors such as Spark Capital (Twitter, SnapChat, SmileDirectClub), Zetta Venture (Kaggle), and Pillar VC (PillPack), as well as angel investors such as Frederic Kerrest (Co-founder of Okta). Our work has been featured in TechCrunch, Wall Street Journal, and many other outlets.
If you want to join a breakthrough healthtech company and help accelerate its impact and growth, we encourage you to apply for this exciting opportunity!

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