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Machine Learning Engineer Intern Jobs in Everett, MA

What you'll need to succeed as a Machine Learning Engineer at XPO Minimum qualifications: * Bachelor's degree in Computer Science, Engineering, or related field, or equivalent related work or ...

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 part of an Agile team dedicated to productionizing machine learning applications and systems at scale.

Senior Machine Learning Engineer

Boston, MA · On-site +1

$133K - $175K/yr

Position Summary The Machine Learning Engineer will be responsible for the end-to-end development and deployment of Large language and machine learning models, with a primary focus on data ...

Senior Machine Learning Engineer

Boston, MA · On-site +1

$133K - $175K/yr

Position Summary The Machine Learning Engineer will be responsible for the end-to-end development and deployment of Large language and machine learning models, with a primary focus on data ...

Senior Machine Learning Engineer

Boston, MA · Remote

$125K - $165K/yr

Position Summary The Machine Learning Engineer will be responsible for the end-to-end development and deployment of Large language and machine learning models, with a primary focus on data ...

Machine Learning Engineer

Boston, MA · On-site

$115K - $140K/yr

The Role As a Machine Learning Engineer, you will help develop and integrate cutting-edge AI/ML models into production systems that solve critical national security problems. Working as part of a ...

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 models into production systems that solve critical national security problems. Working as part of a ...

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 models into production systems that solve critical national security problems. Working as part of a ...

The Role As a Machine Learning Engineer, you will help develop and integrate cutting-edge AI/ML models into production systems that solve critical national security problems. Working as part of a ...

We are seeking a mid-level Machine Learning Engineer to help develop and scale RAG systems across the company. This is a hands-on, full-lifecycle ML role with a strong emphasis on retrieval models ...

Showing results 21-40

Machine Learning Engineer Intern information

See Everett, MA salary details

$26.3K

$43.8K

$90.6K

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

As of Sep 2, 2026, the average yearly pay for machine learning engineer intern in Everett, MA is $43,845.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,500.00 and $47,400.00 per year, depending on experience, location, and employer.

What is a machine learning engineer intern?

A Machine Learning Engineer Intern is a temporary, entry-level role where individuals work with data scientists and engineers to develop, test, and optimize machine learning models. Interns typically assist in data preprocessing, feature engineering, model training, and evaluation. They may also work on improving existing algorithms, implementing research papers, or deploying models into production. This role provides hands-on experience with machine learning frameworks such as TensorFlow and PyTorch, as well as coding in Python and working with large datasets. The internship helps build practical skills and industry experience in artificial intelligence and data science.

What do machine learning engineer interns do?

Machine Learning Engineer Interns are often involved in data preparation, feature engineering, model development, and performance evaluation under the guidance of senior engineers or data scientists. You may help implement and test machine learning algorithms, assist in cleaning and visualizing datasets, and contribute to code reviews or research tasks. Interns frequently collaborate with cross-functional teams, such as data scientists, software engineers, and product managers, to solve real-world problems and support ongoing projects. This hands-on experience provides valuable insights into the practical application of machine learning in a professional setting.

What skills and qualifications are needed to thrive as a machine learning engineer intern?

To thrive as a Machine Learning Engineer Intern, you need a solid understanding of programming languages such as Python, knowledge of machine learning algorithms, and experience with data analysis, typically supported by coursework in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is often required. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills in this role. These competencies enable interns to contribute meaningfully to projects, collaborate efficiently with teams, and adapt in a fast-paced, tech-driven environment.

What are popular job titles related to Machine Learning Engineer Intern jobs in Everett, MA?

For Machine Learning Engineer Intern jobs in Everett, MA, the most frequently searched job titles are:

What cities near Everett, MA are hiring for Machine Learning Engineer Intern jobs?

Cities near Everett, MA with the most Machine Learning Engineer Intern job openings:

Infographic showing various Machine Learning Engineer Intern job openings in Everett, MA as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 24% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $43,845 per year, or $21.1 per hour.

Machine Learning Engineer - Hybrid

XPO Logistics

Boston, MA • On-site

$100K - $120K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 12 days ago


XPO rating

6.9

Company rating: 6.9 out of 10

Based on 226 frontline employees who took The Breakroom Quiz

233rd of 366 rated logistics


Job description

What you'll need to succeed as a Machine Learning Engineer at XPO

Minimum qualifications:

  • Bachelor's degree in Computer Science, Engineering, or related field, or equivalent related work or military experience
  • 1 year of experience in software or machine learning engineering, including hands-on experience building data pipelines, ML infrastructure, or MLOps tooling
  • Experience developing data preparation, validation, or quality-checking tooling for machine learning pipelines
  • Proficiency in Python and SQL
  • Experience with cloud data or ML platforms (e.g., AWS, GCP, BigQuery)
  • Strong collaboration skills, with experience partnering with data science/applied science teams and data engineering teams

Preferred qualifications:

  • Master's degree in Computer Science or related field
  • 3+ years of experience building ML infrastructure for training, evaluation, and deployment at scale
  • Experience building and maintaining CI/CD pipelines for machine learning models
  • Experience with model serving and inference infrastructure (batch and real-time)
  • Experience implementing model monitoring, drift detection, and feedback-loop tooling
  • Experience with containerization and orchestration (Docker, Kubernetes)
  • Experience partnering with data engineering teams on data pipeline reliability and access

 

About the Machine Learning Engineer job

Pay, benefits and more:

  • Competitive compensation package 
  • Full health insurance benefits available on day one 
  • Life and disability insurance 
  • Earn up to 15 days of PTO over your first year  
  • 9 paid company holidays 
  • 401(k) option with company match 
  • Education assistance 
  • Opportunity to participate in a company incentive plan

What you'll do on a typical day:

  • Build and maintain data preparation and validation tooling to ensure high-quality inputs for ML and optimization models
  • Design and implement ML infrastructure for model training, evaluation, and deployment
  • Build and maintain CI/CD pipelines for machine learning models, including automated testing and validation
  • Implement model monitoring, drift detection, and feedback loops to track model performance in production
  • Partner with applied and data scientists to productionize models and streamline the path from experimentation to deployment
  • Collaborate with data engineering teams to ensure reliable, accessible data pipelines
  • Contribute to shared MLOps tooling and best practices across the AI/ML organization

Annual Salary Range: $100,000 to $120,000 Actual compensation may vary due to factors such as experience and skill set. This is an incentive-based position, which may include bonuses, incentive or commission plans.

About XPO

XPO is a top ten global provider of transportation services, with a highly integrated network of people, technology and physical assets. At XPO, we look for employees who like a challenge and can communicate effectively in all situations. We want to leverage your skills and years of experience to drive positive results while ensuring a bright future for yourself and XPO. If you're looking for a growth opportunity, join us at XPO. 

We are proud to be an Equal Opportunity employer. Qualified applicants will receive consideration for employment without regard to race, sex, disability, veteran or other protected status.

All applicants who receive a conditional offer of employment may be required to take and pass a pre-employment drug test. 

The above statements are not an exhaustive list of all required responsibilities, duties and skills for this job classification. 

Review XPO's candidate privacy statement here.


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About XPO

Sourced by ZipRecruiter

Founded in Greenwich, Connecticut, XPO Logistics, Inc., operating under the brand name XPO, is a one of the leading companies in the transportation and logistics sector. Operating its services in 30 countries, the company employs the use of ground-breaking technology in providing a broad suite of logistics services including supply chain management, freight brokerage, last mile logistics, and intermodal and drayage transportation. XPO's impressive history dates back to 2011 and within its relatively short existence, it has made a series of acquisitions to consolidate its top-notch range of services. Their mission is to provide outstanding results to customers by envisioning and implementing significant advancements in freight transportation and logistics.

Industry

Import-export

Company size

10,000+ Employees

Headquarters location

Greenwich, CT, US