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Machine Learning Security Intern Jobs (NOW HIRING)

Aivra Health LLC

$28 - $45/hr

Machine Learning Engineer Intern United States Internship | Full-Time (40 hours/week) Pay Range: $28 - $45 per hour Visa: H1B Sponsorship Available | STEM OPT, OPT & CPT Candidates Welcome Position ...

Aivra Health LLC

$28 - $45/hr

Machine Learning Engineer Intern United States Internship | Full-Time (40 hours/week) Pay Range: $28 - $45 per hour Visa: H1B Sponsorship Available | STEM OPT, OPT & CPT Candidates Welcome Position ...

Aivra Health LLC

$28 - $45/hr

Machine Learning Engineer Intern United States Internship | Full-Time (40 hours/week) Pay Range: $28 - $45 per hour Visa: H1B Sponsorship Available | STEM OPT, OPT & CPT Candidates Welcome Position ...

medplast

IT Security Intern

Brimfield, MA · On-site

The IT Security Intern is instrumental in maintaining the integrity and confidentiality of our ... We foster a culture that values continuous learning and provides the resources and support for ...

Nanite Inc.

Machine Learning Engineer

Boston, MA

The research intern will be in a fast-paced start-up environment playing a crucial technical role ... Develop robust, scalable workflows and maintain security controls to protect sensitive data across ...

Nanite Inc.

Machine Learning Engineer

Boston, MA · On-site

The research intern will be in a fast-paced start-up environment playing a crucial technical role ... Develop robust, scalable workflows and maintain security controls to protect sensitive data across ...

GPTZero

Machine Learning Intern

New York, NY · On-site

What we're looking for At GPTZero, we ensure that machine learning models are created for the ... Past intern projects have been the focus of demos to VCs and state-level policy leaders.

medplast

IT Security Intern

Brimfield, MA · On-site

The IT Security Intern is instrumental in maintaining the integrity and confidentiality of our ... We foster a culture that values continuous learning and provides the resources and support for ...

medplast

IT Security Intern

Chicopee, MA · On-site

The IT Security Intern is instrumental in maintaining the integrity and confidentiality of our ... We foster a culture that values continuous learning and provides the resources and support for ...

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Machine Learning Security Intern information

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$25.5K

$42.6K

$88K

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

As of Jun 7, 2026, the average yearly pay for machine learning security intern in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What is the difference between Machine Learning Security Intern vs Data Security Intern?

AspectMachine Learning Security InternData Security Intern
Required CredentialsEnrolled in Computer Science, Cybersecurity, or related fields; knowledge of machine learning and security conceptsEnrolled in Cybersecurity, Information Technology, or related fields; understanding of data protection and security protocols
Work EnvironmentTech companies, research labs, or startups focusing on AI and securityOrganizations handling sensitive data, financial institutions, or tech firms with data security teams
Employer & Industry UsagePrimarily in AI, cybersecurity, and tech industriesAcross finance, healthcare, and tech sectors emphasizing data privacy

The Machine Learning Security Intern focuses on securing AI models and algorithms, combining machine learning knowledge with security practices. In contrast, the Data Security Intern concentrates on protecting data assets and ensuring compliance. Both roles require cybersecurity fundamentals but differ in their technical focus and industry applications.

What is a Machine Learning Security Intern?

A Machine Learning Security Intern is a student or early-career professional who assists in protecting machine learning systems and data from security threats. Their responsibilities typically include identifying vulnerabilities in ML models, evaluating attack surfaces, and helping develop secure AI solutions. Interns may also support the implementation of best practices in data privacy, adversarial defense, and secure deployment of ML algorithms. This role provides hands-on experience at the intersection of cybersecurity and artificial intelligence, preparing interns for a career in either or both fields.

What are the key skills and qualifications needed to thrive as a Machine Learning Security Intern, and why are they important?

To thrive as a Machine Learning Security Intern, you need a solid understanding of machine learning concepts, cybersecurity fundamentals, and programming skills, often supported by coursework in computer science or related fields. Familiarity with tools such as Python, TensorFlow or PyTorch, and security analysis platforms is typically expected. Strong analytical thinking, attention to detail, and effective communication help interns collaborate and solve complex security challenges. These skills and qualities are crucial to effectively identify, analyze, and mitigate security risks in machine learning systems.

How do Machine Learning Security Interns typically collaborate with engineering and data science teams during their internship?

Machine Learning Security Interns often work closely with both engineering and data science teams to identify security vulnerabilities in machine learning models and pipelines. Collaboration usually involves participating in code reviews, contributing to threat modeling sessions, and helping to develop or test security tools and protocols. Interns may also assist in analyzing datasets for potential biases or data poisoning threats, and present their findings to cross-functional teams. This teamwork helps interns gain practical experience while ensuring that security best practices are integrated into the development lifecycle.
Infographic showing various Machine Learning Security Intern job openings in the United States as of May 2026, with employment types broken down into 17% Internship, 50% Full Time, and 33% Part Time. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Machine Learning Engineer Intern

Aivra Health LLC

$28 - $45/hr

Other

Posted 20 days ago

Job description

Machine Learning Engineer Intern

United States
Internship | Full-Time (40 hours/week)
Pay Range: $28 – $45 per hour 
Visa: H1B Sponsorship Available | STEM OPT, OPT & CPT Candidates Welcome

Position Overview

We are seeking a highly motivated Machine Learning Engineer Intern to join our AI/ML team. This role is ideal for students or entry level candidates in STEM fields who are passionate about building scalable machine learning models and deploying them into production environments.

The intern will work closely with Data Scientists and Software Engineers to develop, train, evaluate, and deploy machine learning models that solve real-world business problems.

Key Responsibilities

  • Assist in building and training machine learning and deep learning models

  • Perform data preprocessing, feature engineering, and exploratory data analysis (EDA)

  • Implement supervised and unsupervised learning algorithms

  • Optimize model performance using hyperparameter tuning

  • Deploy ML models using REST APIs or cloud services

  • Work on model monitoring, validation, and performance tracking

  • Collaborate with cross-functional teams in Agile/Scrum environment

  • Document experiments and maintain reproducible ML workflows

Required Qualifications

  • Currently pursuing or recently completed a Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, or related STEM field

  • Strong understanding of Machine Learning fundamentals

  • Knowledge of Probability, Statistics, and Linear Algebra

  • Basic understanding of Data Structures and Algorithms

Technical Skills (ATS Keywords)Programming Languages

  • Python

  • R (preferred)

  • Java (basic knowledge)

  • SQL

Machine Learning & AI Frameworks

  • Scikit-learn

  • TensorFlow

  • Keras

  • PyTorch

  • XGBoost

  • LightGBM

Data Processing & Big Data

  • Pandas

  • NumPy

  • Apache Spark

  • PySpark

  • Hadoop

NLP & Advanced Techniques (Preferred)

  • Natural Language Processing (NLP)

  • Computer Vision

  • Deep Learning

  • Transformers

  • LLM fundamentals

Cloud & MLOps

  • AWS (SageMaker, S3, EC2)

  • Microsoft Azure ML

  • Google Cloud AI Platform

  • Docker

  • Kubernetes

  • MLflow

  • CI/CD pipelines

  • Model Deployment & Monitoring

Tools & Concepts

  • Git

  • REST APIs

  • Feature Engineering

  • Model Evaluation Metrics

  • A/B Testing

  • Agile/Scrum

Preferred Qualifications

  • Prior ML internship or academic research experience

  • Experience deploying models into production

  • Knowledge of MLOps practices

  • Strong problem-solving and analytical skills

  • Good communication and teamwork abilities

Compensation & Benefits

  • Competitive hourly compensation ($28 – $45/hr)

  • Hands-on real-world AI/ML project experience

  • Mentorship from senior ML engineers

  • Opportunity for full-time conversion

  • H1B sponsorship support for eligible candidates

  • STEM OPT extension support

Equal Opportunity Employer

We are an Equal Opportunity Employer and encourage applications from diverse backgrounds, including international students and professionals requiring H1B sponsorship or STEM OPT support.

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