1

Apprentice Machine Learning Testing Jobs in Waltham, MA

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)

Principal Machine Learning Engineer

Boston, MA · On-site +1

$189K - $312K/yr

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

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 ...

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 ...

next page

Showing results 1-20

Apprentice Machine Learning Testing information

See Waltham, MA salary details

$11

$20

$30

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

As of Jun 8, 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 are popular job titles related to Apprentice Machine Learning Testing jobs in Waltham, MA? For Apprentice Machine Learning Testing jobs in Waltham, MA, the most frequently searched job titles are:
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:
Senior Machine Learning Test Engineer

Senior Machine Learning Test Engineer

Autodesk, Inc.

Boston, MA • On-site

$120K - $155K/yr

Full-time

Posted 25 days ago


Autodesk rating

9.5

Company rating: 9.5 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

6th of 186 rated software companies


Job description

Job Requisition ID #
26WD98377
Senior Machine Learning Test Engineer
Location: United States East Coast
Position Overview
As a Senior Machine Learning Test Engineer in the Research Enablement team, you will work side-by-side with researchers, Machine Learning developers and developers, and software developers and developers to define and uphold quality standards for ML systems. You are a quality-focused developer who is passionate about reliable, repeatable evaluation of ML models and data. Your skills span test strategy, automation, and a little MLOps, with a strong software engineering base. You are excited to collaborate across research and product to ship ML capabilities with clear quality gates. You are comfortable working at the intersection of research and product and are competent in using Autodesk CAD software.
Reporting Structure: You will report to an Engineering Manager in Research Enablement.
Location: United States, East Coast Time Zone.
We are a global team, located in London, San Francisco, Toronto, and remotely. Autodesk is a hybrid-first company, allowing workers to work remotly, in an office, or a mix of both.
Responsibilities
  • Define ML quality strategy and acceptance criteria across data, model, and system levels
  • Design and maintain model evaluation suites, metrics, and test datasets
  • Evaluating CAD RL model outputs for geometric validity or policy stability
  • Defining structured rubrics that translate qualitative findings into measurable evaluation gates
  • Testing ML Models from product side
  • API Testing
  • Automate ML QA workflows using Python and CI/CD (e.g., GitHub Actions, Jenkins)
  • Create and maintain test harnesses for ML services and APIs
  • Mentor teams on ML QA best practices and consistent evaluation standards
  • Build quality gates for training and deployment pipelines (e.g., regression checks, drift detection)
  • Contribute to multi-team projects and codebases, ensuring code quality and consistency
  • Participate in code reviews and provide constructive feedback to peers
  • Document and present findings and ideas across the company

Minimum Qualifications
  • Bachelor's degree in Computer Science, Engineering, or equivalent experience
  • 7+ years of professional experience in software engineering or QA for ML/AI systems
  • Strong programming skills in Python, with experience in test automation
  • Familiarity with popular CAD environments tooling
  • Proficient in Automation and UAT test suite/framework
  • Experience designing QA frameworks or platforms used by multiple teams
  • Excellent problem-solving skills and attention to detail
  • Strong communication and collaboration skills
  • Understanding of software architecture and design patterns
  • Ability to work in an agile development environment

Preferred Qualifications
  • Experience with data validation tooling (e.g., Great Expectations) or labeling workflows
  • Familiarity with ML frameworks (e.g., PyTorch, TensorFlow)
  • Experience with CI/CD tools and processes
  • Experience with data pipelines and orchestration tools (e.g., Airflow, Metaflow)
  • Familiarity with MLOps practices (model monitoring, drift, deployment checks)
  • Experience with ML evaluation methods, metrics, and benchmarking
  • Passion for learning new technologies and improving existing systems
  • Experience with cloud providers (e.g., AWS, Azure, Google Cloud Platform)
  • Experience testing ML services in production environments
  • Knowledge of experiment tracking tools (e.g., Comet, MLflow, Weights & Biases)

The Ideal Candidate
  • You demonstrate initiative to provide solutions and to learn and develop new technologies
  • Comfortable building QA systems from scratch and writing maintainable automation
  • You enjoy learning and collaborating across global locations
  • You are comfortable working in newly forming ambiguous areas
  • You are comfortable building scalable and maintainable systems that will be relied on by others
  • You can communicate well with others

At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.
Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site). If you have any questions or require support, contact Autodesk Careers.

Autodesk logo

About Autodesk

Sourced by ZipRecruiter

Autodesk is changing how the world is designed and made. Our technology spans architecture, engineering, construction, product design, manufacturing, media, and entertainment, empowering innovators everywhere to solve challenges big and small. From greener buildings to smarter products to more mesmerizing blockbusters, Autodesk software helps our customers to design and make a better world for all. For more information visit autodesk.com or follow @autodesk.

Industry

Software development

Company size

10,000+ Employees

Headquarters location

San Rafael, CA, US

Year founded

1982