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62 Meta Machine Learning Intern Jobs Hiring Near You

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 ...

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Meta Jobs Information

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

To thrive as a Machine Learning Intern, you need a solid understanding of statistics, programming (especially Python), and foundational machine learning concepts, typically supported by coursework or a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and data analysis libraries, as well as experience with version control systems like Git, is highly valuable. Strong problem-solving skills, curiosity, and effective communication set outstanding candidates apart in this role. These abilities are essential for analyzing data, building models, and collaborating with teams to develop innovative AI solutions.

What types of projects do Machine Learning Interns typically work on, and how are they supported by the team?

Machine Learning Interns often contribute to real-world projects such as data preprocessing, developing and testing models, or assisting with research for new algorithms. Interns are usually paired with a mentor or work within a small team, receiving guidance during code reviews and regular check-ins. This collaborative environment helps interns gain practical experience, quickly overcome challenges, and integrate feedback, ensuring a steep learning curve and valuable industry exposure.

What does a Machine Learning Intern do?

A Machine Learning Intern assists with developing, testing, and deploying machine learning models under the supervision of experienced data scientists or engineers. Their responsibilities may include data preprocessing, feature engineering, coding algorithms, analyzing results, and assisting with research tasks. Interns often work with programming languages like Python and libraries such as TensorFlow or PyTorch. The internship provides hands-on experience in real-world machine learning projects and helps interns build essential skills for a future career in the field.

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

AspectMachine Learning InternData Science Intern
Required CredentialsTypically pursuing or recent graduate in Computer Science, Data Science, or related fields; knowledge of programming and ML frameworksUsually pursuing or recent graduate in Data Science, Statistics, or related fields; strong analytical and programming skills
Work EnvironmentTech companies, research labs, startups focusing on AI/ML projectsBusiness, finance, healthcare, and tech sectors analyzing data for insights
Employer & Industry UsageUsed in companies developing AI products, research institutions, tech startupsCommon in organizations requiring data analysis, reporting, and decision-making support

While both roles involve working with data and programming, a Machine Learning Intern focuses specifically on developing and implementing machine learning models, whereas a Data Science Intern works more broadly on analyzing data, creating reports, and deriving insights. The roles often overlap, but the Machine Learning Intern role emphasizes algorithm development and model deployment.

What is it like to work at Meta?

Meta is a technology company that prioritizes innovation, collaboration, and diversity, fostering a culture that encourages experimentation and learning from failures. The company's structure is organized into various teams, including those focused on artificial intelligence, virtual reality, and social media, with a work environment that supports flexible work arrangements and employee well-being. Working at Meta may appeal to candidates who are passionate about shaping the future of technology and are interested in contributing to a company that aims to build technologies that help people connect, find communities and grow businesses.

Do workers at Meta get paid breaks?

Sometimes. Only some people get paid breaks.
40% of people say they don’t get paid breaks.
Based on data from 25 people who took the Breakroom Quiz between December 2024 and February 2026.

Does Meta pay people when they’re sick?

Sometimes. Only some people get paid when they’re sick.
42% of people say they wouldn’t get paid if they were sick but scheduled to work.
Based on data from 38 people who took the Breakroom Quiz between December 2024 and February 2026.

At Meta, are sick days and vacation days separate paid time off?

Only some people have separate paid time off for sick days and vacation.
36% of people say they have to use vacation days when they’re out sick.
Based on data from 14 people who took the Breakroom Quiz between May 2025 and March 2026.

Is the health insurance from Meta affordable enough for their workers?

Most people say the health insurance costs are okay.
100% of people say the health insurance costs are okay
Based on data from 13 people who took the Breakroom Quiz between March 2025 and February 2026.

Do people get paid time off at Meta?

Most people get paid time off work.
83% of people say they get paid time off.
Based on data from 18 people who took the Breakroom Quiz between May 2025 and March 2026.

How far ahead of time do people find out their work schedule?

Most people find out their schedule less than four weeks ahead of time.
  • 82% of people with changing schedules find out their shifts one week or less ahead of time.
  • 9% of people with changing schedules find out their shifts two weeks ahead of time.
  • 0% of people with changing schedules find out their shifts three weeks ahead of time.
  • 9% of people with changing schedules find out their shifts four weeks or more ahead of time.

Based on data from 11 people who took the Breakroom Quiz between December 2024 and July 2025.

Do workers at Meta worry about hours?

Most people don’t worry about getting enough hours.
89% of people report they don’t worry about getting enough hours.
Based on data from 27 people who took the Breakroom Quiz between December 2024 and February 2026.

Do Meta workers get to choose the shifts they work?

Most people get to choose which shifts they work.
69% report that they have enough control over which shifts they work.
Based on data from 16 people who took the Breakroom Quiz between December 2024 and August 2025.

How easy is it for Meta workers to change shifts?

Most people find it easy to change shifts.
67% of people report that it’s easy to change shifts if they need to.
Based on data from 15 people who took the Breakroom Quiz between December 2024 and August 2025.

How easy is it to get time off at Meta?

Most people find it easy to get time off.
75% of people report it’s easy to get time off.
Based on data from 36 people who took the Breakroom Quiz between December 2024 and March 2026.

Do Meta managers change schedules at the last minute?

Most managers don’t change people’s schedules at the last minute.
90% of people say their manager doesn’t change their shift schedule at the last minute.
Based on data from 29 people who took the Breakroom Quiz between December 2024 and February 2026.

Do workers at Meta do extra work that they don't get paid for?

Rarely. Most people don’t do unpaid extra work.
33% of people report that they do extra work that they don’t get paid for.
Based on data from 24 people who took the Breakroom Quiz between December 2024 and February 2026.

How easy is it to take sick days at Meta?

Most people find it easy to take sick days.
84% of people report that it’s easy to take time off if they are sick.
Based on data from 37 people who took the Breakroom Quiz between December 2024 and February 2026.

Is working at Meta good if you’re a parent or caregiver?

Most parents and caregivers say this is a good place to work.
81% of people who care for a child or other relative report this is a good place to work.
Based on data from 16 people who took the Breakroom Quiz between December 2024 and January 2026.

Do people at Meta feel treated with respect by their managers?

Most people feel treated with respect by their managers.
76% of people say they’re treated with respect by their managers.
Based on data from 42 people who took the Breakroom Quiz between December 2024 and March 2026.

Do people at Meta get to take their breaks without interruption?

Most people get breaks without interruption.
70% of people report that they get to take their breaks without interruption.
Based on data from 30 people who took the Breakroom Quiz between December 2024 and March 2026.

Is it stressful to work at Meta?

Most people feel stressed out here.
72% of people say they often feel stressed out at work.
Based on data from 36 people who took the Breakroom Quiz between December 2024 and February 2026.

Do people at Meta enjoy their jobs?

Most people enjoy their job.
78% of people report they enjoy their job.
Based on data from 37 people who took the Breakroom Quiz between December 2024 and March 2026.

Do people at Meta recommend working with their team?

Only some people recommend working with their team.
38% of people report that they wouldn’t recommend working with their immediate team to a friend.
Based on data from 42 people who took the Breakroom Quiz between December 2024 and March 2026.

Do people get enough training when they start at Meta?

Some people didn’t get enough training when they started.
45% of people report they didn’t get enough training when they started working here.
Based on data from 40 people who took the Breakroom Quiz between December 2024 and March 2026.

Do people get support to advance at Meta?

Only some people are given support to advance their career here.
In the last year, 38% of people report not being given support to advance their career here.
Based on data from 32 people who took the Breakroom Quiz between December 2024 and March 2026.

Do people think Meta’s headquarters understands what’s happening where they work?

Most people think headquarters doesn’t understand what’s happening where they work.
68% of people think that this employer’s headquarters or owners don’t have a good understanding of what’s really happening where they work.
Based on data from 37 people who took the Breakroom Quiz between December 2024 and February 2026.

Do workers feel well informed about how Meta is doing?

Only some people feel well informed about how the company is doing.
36% of people feel that they aren’t kept well informed about how the company is doing as a whole.
Based on data from 39 people who took the Breakroom Quiz between December 2024 and February 2026.
What other companies are hiring for Machine Learning Intern jobs?
What are the most popular jobs at Meta?
What are the most popular categories at Meta?
Infographic showing various Machine Learning Intern job openings at Meta in the United States as of May 2026, with employment types broken down into 3% Internship, 95% Full Time, and 2% Contract. Highlights an 86% Physical, and 14% Remote job distribution.

Machine Learning Engineer Intern

Aivra Health LLC

$28 - $45/hr

Other

Posted 10 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.

Apply