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Internship Meta Ai Jobs (NOW HIRING)

INSPYR Solutions

AI Engineer

Dallas, TX · On-site

Internship, co-op, or professional engineering experience within a large-scale technology-driven ... Apple, Meta, Tesla, Oracle, or similar enterprise environments * Undergraduate STEM degree ...

Samaya AI

ML Research Intern

Mountain View, CA · On-site

... AI agents with advanced tool calling and long-horizon reasoning, etc. The primary focus of this internship is to conduct novel research that advances these fields, with the goal of publishing in top ...

Pylon Labs

Software Engineer, Intern

San Francisco, CA · On-site

For leaders scaling AI-native support teams, Pylon lets humans and agents collaborate on customer ... and Meta What We're Looking For * You are pursuing a bachelor's or master's degree in computer ...

AfterQuery

Strategic Projects - Coding Intern

San Francisco, CA · On-site

$17.75 - $23.50/hr

... Anthropic, Meta Superintelligence Labs, and Microsoft AI. AfterQuery is seeking exceptional ... Internship experience at a top consulting, finance, and tech firm * Intense work ethic, agency, and ...

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How much do internship meta ai jobs pay per hour?

As of Jul 20, 2026, the average hourly pay for internship meta ai in the United States is $25.42, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.85 per hour, depending on experience, location, and employer.

What types of projects do interns typically work on during an AI internship at Meta?

As an AI intern at Meta, you can expect to work on projects that directly contribute to ongoing research or product initiatives, such as improving machine learning models, developing new algorithms, or building tools that enhance the user experience. Interns often collaborate with experienced researchers, engineers, and cross-functional teams, gaining hands-on experience with large-scale datasets and cutting-edge technologies. The work environment emphasizes mentorship, innovation, and knowledge sharing, allowing interns to impact real-world products while developing their technical skills.

What are the key skills and qualifications needed to thrive as an AI Intern at Meta, and why are they important?

To thrive as an AI Intern at Meta, you generally need a strong background in computer science, mathematics, and machine learning, often demonstrated through coursework or relevant projects. Familiarity with programming languages like Python, deep learning frameworks such as PyTorch or TensorFlow, and version control systems like Git is typically required. Strong analytical thinking, problem-solving, and effective communication skills help you collaborate and present complex ideas clearly. These skills and qualities are essential to contribute meaningfully to AI research and development projects, driving innovation in a fast-paced tech environment.

What is an Internship at Meta AI?

An Internship at Meta AI is a temporary position for students or recent graduates to gain hands-on experience working on artificial intelligence projects at Meta, formerly known as Facebook. Interns collaborate with experienced researchers, engineers, and product teams to solve real-world problems using cutting-edge AI technologies. These internships are highly competitive and provide opportunities to work on impactful projects, access mentorship, and enhance technical skills. The experience can be a stepping stone to a full-time role in AI or related fields. Internships are typically offered in areas such as machine learning, natural language processing, computer vision, and data science.

What is the difference between Internship Meta Ai vs Data Analyst Intern?

AspectInternship Meta AiData Analyst Intern
Required SkillsBasic understanding of AI, machine learning, programming (Python, SQL)Data analysis, statistical skills, Excel, SQL
Work EnvironmentTech company, AI research teams, collaborative projectsBusiness or tech companies, data-focused teams
Industry UsageArtificial Intelligence, Tech, Software DevelopmentBusiness Intelligence, Market Research, Data Management

Internship Meta Ai typically involves working on AI and machine learning projects within tech companies, requiring programming and AI knowledge. Data Analyst Internships focus on analyzing data sets to inform business decisions, emphasizing statistical and data management skills. Both roles are entry-level, but they serve different industry functions and skill sets.

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Internship Meta Ai jobs near you
Infographic showing various Internship Meta Ai job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $52,867 per year, or $25.4 per hour.

Member of Technical Staff (AI Engineering)

Krew

San Francisco, CA • On-site

$150K - $250K/yr

Full-time

Re-posted yesterday

Job description

Krew is on a mission to transform credit-servicing with the industry’s most advanced AI credit-servicing agents.
We are backed by Long Journey Ventures (Arielle Zuckerberg, Pascal Levy-Garboua), and strategic angels including Ryan Hoover (Founder, Product Hunt), Charlie Songhurst (Board Member, Meta), and Michael Jones (Former Chair, Huntington Bank Ventures).
We are a talent dense team comprising of ex-Figure Robotics, Optiver, Artificial Analysis, Bain, the United Nations, UChicago, and Oxford engineers and researchers.
Our omnichannel agents are supporting >100,000 consumers on their pathways to financial wellness. And we're just getting started - our goal is to resolve more than $1 trillion in outstanding consumer delinquencies worldwide with an empathetic, human-centric approach to financial wellness.

Job Responsibilities:

  1. Engineer text and email agents using our proprietary email agent framework

  2. Maintain and develop our email agent framework

  3. Develop custom performance and quality evaluations for our agents

Minimum Qualifications:

  1. At least 2 years of full time professional, non-internship experience in fullstack, backend, or AI engineering

  2. Experience with backend development (Python)

  3. Experience integrating language models into AI applications

Preferred Qualifications:

  1. Experience in FinTech, Risk Management, or Compliance is beneficial but not mandatory

  2. Bonus points if you are experienced with agentic frameworks (e.g. LangGraph) and are able to clearly articulate the differences between model quality

  3. Bonus points if you have experience fine-tuning models

  4. Bonus points if you have experience building, using, or refining benchmarks

  5. Bonus points if you were an ex-founder

Compensation Range: $150K - $250K