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Hourly Machine Learning Intern Jobs in Boston, MA

Nanite Inc.

Machine Learning Engineer

Boston, MA · On-site

Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug ... The research intern will be in a fast-paced start-up environment playing a crucial technical role ...

Meta

Research Scientist Intern, AI Alignment

Boston, MA

$7.6K - $12K/mo

D. degree in Computer Science, Machine Learning, Artificial Intelligence, or relevant technical ... Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual ...

Formlabs

AI Software Intern (Fall 2026)

Somerville, MA · On-site

As an AI Software Intern , you will apply machine learning and deep learning techniques to solve complex physical, geometric, and vision constraints in the additive manufacturing space. You will work ...

CVS Health

Senior Machine Learning Engineer

Wellesley, MA · On-site

$111K - $222K/yr

We're looking for a Senior Machine Learning Engineer to help build and scale the next generation of ... hourly rate or base annual full-time salary for all positions in the job grade within which this ...

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All JobsHourly Machine Learning Intern JobsHourly Machine Learning Intern Jobs in Boston, MA

Hourly Machine Learning Intern information

See Boston, MA salary details

$27.7K

$46.3K

$95.6K

How much do hourly machine learning intern jobs pay per year?

As of Jul 25, 2026, the average yearly pay for hourly machine learning intern in Boston, MA is $46,263.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,300.00 and $50,000.00 per year, depending on experience, location, and employer.

Is $20 an hour good for an internship?

For an hourly machine learning intern, $20 an hour is generally considered competitive, especially for entry-level positions that may require basic programming skills in Python or experience with tools like TensorFlow. Internships often pay between minimum wage and $20 or more, depending on the industry, location, and required skills. Factors such as workload, learning opportunities, and company size also influence whether the pay is appropriate.

How much do ML interns get paid?

Hourly machine learning interns typically earn between $15 and $30 per hour, depending on the company, location, and level of experience. Internships often include opportunities to work with tools like Python and TensorFlow and may require a background in computer science or related fields.

Is 23 an hour good for an internship?

For an hourly machine learning intern, $23 an hour is generally above the average internship pay, which often ranges from minimum wage to around $20 per hour depending on location and company. This rate can reflect the technical skills required, such as programming in Python or using machine learning frameworks, and may be considered competitive in many regions. However, pay standards vary widely based on geographic area, industry, and the intern's experience level.

What is the difference between Hourly Machine Learning Intern vs Hourly Data Science Intern?

AspectHourly Machine Learning InternHourly Data Science Intern
Required CredentialsTypically pursuing or holding a degree in Computer Science, Data Science, or related fields; knowledge of programming and ML frameworksUsually enrolled in or graduated from a program in Data Science, Statistics, or related areas; proficiency in data analysis tools
Work EnvironmentTech companies, startups, research labs focusing on ML model developmentOrganizations applying data analysis to business problems, often in tech, finance, or healthcare sectors
Employer & Industry UsageCommonly used in AI/ML-focused roles within tech industriesWidely used across industries for data-driven decision making

The Hourly Machine Learning Intern focuses on developing and testing machine learning models, requiring programming and ML-specific skills. In contrast, the Hourly Data Science Intern emphasizes analyzing data to extract insights, often involving statistical analysis and data visualization. Both roles are valuable entry points in data-related fields but differ in technical focus and daily tasks.

What are popular job titles related to Hourly Machine Learning Intern jobs in Boston, MA? For Hourly Machine Learning Intern jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Hourly Machine Learning Intern jobs in Boston, MA look for? The top searched job categories for Hourly Machine Learning Intern jobs in Boston, MA are:
What cities near Boston, MA are hiring for Hourly Machine Learning Intern jobs? Cities near Boston, MA with the most Hourly Machine Learning Intern job openings:
Hourly Machine Learning Intern jobs near you
Infographic showing various Hourly Machine Learning Intern job openings in Boston, MA as of July 2026, with employment types broken down into 1% As Needed, 57% Full Time, 39% Part Time, 1% Temporary, and 2% Contract. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $46,263 per year, or $22.2 per hour.
Machine Learning Engineer

Machine Learning Engineer

Nanite Inc.

Boston, MA • On-site

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.

Job description

Our mission is to deliver the undeliverable.

 

Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug delivery. The research intern will be in a fast-paced start-up environment playing a crucial technical role in generating cell culture and transfection data. The candidate will work with senior leadership and partner projects gaining broad internal and external exposure.

Essential Functions and Duties

  • Design and implement complex data engineering processes to support innovative data science modeling
  • Collaborate with chemistry and biology research teams to design data pipelines, analyze experimental data and implement experimentally actionable feed-back loops
  • Apply and deploy established and novel statistical and machine learning algorithms to explore, understand and optimize properties of the vast delivery vehicle space, both in silico and experimentally
  • Develop robust, scalable workflows and maintain security controls to protect sensitive data across cloud and on-premise environments
  • Coordinate with cross-functional teams to deploy models and communicate results and with a focus on computational efficiency, performance, and usability
  • Design of repositories, CI/CD pipelines and integration tests for ML workflows

Qualifications

MS in Computer Science, Data Science, Statistics, Computational Biology, Computational Chemistry, or a related discipline with 2 years hands-on machine learning experience. 

Knowledge, Skills, and Abilities

  • Track record developing statistical and machine learning models for complex and unconventional real-life problems
  • Strong mathematical and coding skills
  • Proficiency in Python,  MLOps (W&B, MLFlow) and ML packages (scikit-learn, PyTorch, JAX), along with SQL and AWS.
  • Familiarity with ML workflow best practices.
  • Interest in applications of machine learning in biotechnology
  • Strong communication skills, both written and verbal
  • Experience doing research and working with interdisciplinary teams

Additional Preferred Experience (desired, but not essential):

  • Experience in an industry setting related to biotechnology, chemicals, or materials manufacturing
  • Experience with cheminformatics, computational chemistry, computational biology databases, data structures, material science and modelling package

Computer and modeling work required, this is an on-site position based in the Seaport of Boston, MA.

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