1

Apprentice Machine Learning Testing Jobs in Boston, MA

... testing, and model development all the way through to the deployment and maintenance of models and ... The Machine Learning Analyst's primary responsibility will be to contribute to these efforts ...

Machine Learning Analyst

Boston, MA · On-site

$110K - $145K/yr

... testing, and model development all the way through to the deployment and maintenance of models and ... The Machine Learning Analyst's primary responsibility will be to contribute to these efforts ...

Lead Machine Learning Engineer

Cambridge, MA · On-site +1

$112K - $147K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Solve complex problems by writing and testing application code, developing and validating ML models ...

They are seeking a Founding Machine Learning Engineer to own the development of matching algorithms ... A/B testing infrastructure design • Causal inference • dbt • Ad-tech or OOH domain ...

The Role As a Machine Learning Engineer, you will help develop and integrate cutting-edge AI/ML ... Solid understanding of software engineering principles, including testing, scalability ...

New

The Role As a Machine Learning Engineer, you will help develop and integrate cutting-edge AI/ML ... Solid understanding of software engineering principles, including testing, scalability ...

New

The Role As a Machine Learning Engineer, you will help develop and integrate cutting-edge AI/ML ... Solid understanding of software engineering principles, including testing, scalability ...

New

Machine Learning Engineer

Woburn, MA · On-site

$115K - $140K/yr

The Role As a Machine Learning Engineer, you will help develop and integrate cutting-edge AI/ML ... Solid understanding of software engineering principles, including testing, scalability ...

New

Machine Learning Engineer, Data Mining

Boston, MA · On-site +1

$124K - $149K/yr

As a Machine Learning Engineer on the Data Mining team, your mission is to help build the "Brain ... Follow software engineering standards (version control, CI/CD, unit testing) for ML code.

Sr. Lead Machine Learning Engineer

Cambridge, MA · On-site +1

$112K - $147K/yr

Sr. Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE) , you'll be ... Solve complex problems by writing and testing application code, developing and validating ML models ...

The Opportunity Nucs AI is looking for a Machine Learning Scientist to deepen our ML research ... Strong statistical foundations - experimental design, hypothesis testing, survival analysis, and ...

next page

Showing results 1-20

Apprentice Machine Learning Testing information

See Boston, MA salary details

$12

$21

$30

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

As of Jul 31, 2026, the average hourly pay for apprentice machine learning testing in Boston, MA is $21.03, according to ZipRecruiter salary data. Most workers in this role earn between $17.74 and $22.98 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 Boston, MA? For Apprentice Machine Learning Testing jobs in Boston, MA, the most frequently searched job titles are:
What cities near Boston, MA are hiring for Apprentice Machine Learning Testing jobs? Cities near Boston, MA with the most Apprentice Machine Learning Testing job openings:
Infographic showing various Apprentice Machine Learning Testing job openings in Boston, MA as of July 2026, with employment types broken down into 90% Full Time, 9% Part Time, and 1% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $43,747 per year, or $21 per hour.

$110K - $145K/yr

Other

Posted 16 days ago


Job description

We are seeking a Machine Learning Analyst to join the growing data analytics and machine learning team. The team's primary mission is to develop machine learning systems to answer open-ended investment questions and support portfolio management decisions. The team works across the project lifecycle and technical stack, from ideation, understanding and analyzing data, hypothesis generation and testing, and model development all the way through to the deployment and maintenance of models and systems in production. Our work spans statistical modeling, classical machine learning, and modern AI and LLM techniques.

The Machine Learning Analyst's primary responsibility will be to contribute to these efforts alongside other team members. Over time, you will develop the technical and domain expertise needed to take increasing ownership of individual components and ultimately end-to-end projects.

The work is highly collaborative and spans quantitative research, software engineering, and machine learning. Analysts work with other members of the machine learning team and portfolio managers to translate loosely defined investment ideas into practical tools and models. Successful candidates will have solid programming foundations, be comfortable translating between qualitative and quantitative descriptions of problems and be excited to build data analysis and machine learning systems against the backdrop of portfolio management.

Since the team works closely with trading floor personnel to assist with portfolio management decision-making, an interest in economic and financial markets is essential, but no specific prior experience is necessary.

This role is open to candidates available to begin in the near term, as well as students expecting to complete their undergraduate degree between Fall 2026 and Summer 2027. Start dates will be determined based on candidate availability and, for students, degree completion.

 Responsibilities:

  • Collaborate closely with Machine Learning team members, portfolio managers, and researchers to translate open-ended investment questions into well-defined analytical and machine learning problems
  • Develop and evaluate data-driven machine learning and quantitative models, including simulation- and optimization-based approaches, for investment-related problems
  • Contribute to maintaining existing models and analytic tools in production
  • Over time, take ownership of individual features and components and full projects
  • Clearly document and communicate methods, assumptions, results, and limitations of models to other researchers and trading professionals across the firm
  • Stay current with relevant new techniques and technologies in machine learning and artificial intelligence, particularly as they pertain to finance and investing

Qualifications:

  • Bachelor's degree (or equivalent) in a rigorous quantitative field
  • 0-2 years of experience through industry internships, undergraduate research or thesis, or substantial independent technical projects involving software development, data analysis, or machine learning
  • Proficiency in Python and familiarity with the Python data science stack (NumPy, SciPy, Pandas, scikit-learn, etc), with experience in other languages a plus
  • Experience working with and analyzing data from multiple sources and in multiple formats
  • Familiarity with machine learning and statistical modeling fundamentals, including model evaluation and experimental design
  • Demonstrated ability to independently scope and execute open-ended technical projects
  • Interest in financial markets, intellectual curiosity, and comfort in working on open-ended problems
  • Strong written and verbal communication skills

Current anticipated annual base salary range: $110,000 - $145,000

Base salary within the range will be determined by various factors including but not limited to the individual's experience, skills and qualifications.