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Internship Meta Ai Jobs (NOW HIRING)

Meta

Research Scientist Intern, AI Alignment

Boston, MA

$7.6K - $12K/mo

Meta is committed to advancing the field of artificial intelligence by making fundamental advances ... Our interns have an opportunity to make core algorithmic advances and apply their ideas at an ...

Meta

AI Research Scientist, Robotics

Redmond, WA

$219K/yr

At Meta, we're building the future of human connection and the technology that enables it. This ... Demonstrated research and software engineering experience via an internship, work experience ...

Meta

AI Research Scientist, Robotics

Burlingame, CA

$219K/yr

At Meta, we're building the future of human connection and the technology that enables it. This ... Demonstrated research and software engineering experience via an internship, work experience ...

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How much do internship meta ai jobs pay per hour?

As of Aug 25, 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 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 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 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 August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $52,867 per year, or $25.4 per hour.

Research Scientist Intern, AI, Cyber Security, Safety - MSL Trust & Safety (PhD)

Meta

Menlo Park, CA • On-site

$7.6K - $12K/mo

Internship

Posted 6 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

139th of 246 rated software companies

Job description

Meta Superintelligence Labs (MSL) is committed to advancing AI in a safe, responsible, and scalable way. The PAR Trust & Safety team sits at the heart of this mission: we ensure the safety of billions of users across Meta's products and services by developing and deploying robust safety mitigations that unblock our most ambitious AI capabilities. We work on safety risk mitigation to directly enable launches of top-priority frontier models and the products built on them (e.g., Meta AI), and we develop solutions with real users in mind - monitoring after deployment, iterating, and evolving our strategy as new AI capabilities and risks emerge. As a Research Scientist Intern on the PAR Trust & Safety team, you will pioneer new AI security techniques and paradigms for superintelligent AI, working hands-on across the full research lifecycle. Our internships are twelve (12) to twenty-four (24) weeks long. What You'll Gain Hands-on experience with Meta's frontier AI models and infrastructure at scale Mentorship from leading researchers in AI cybersecurity Opportunity to publish at top-tier venues Impact on the safety of AI systems used by billions of people
Responsibilities
AI model's defensive cyber capabilities: Leveraging frontier AI models (LLMs, agents) for automation.
• AI for Cyber: Leveraging frontier AI models and agents to improve cyber capabilities, such as vulnerability detection and patching.
• Evaluation: Develop systematic methodologies to probe frontier models' cyber capabilities.
Minimum Qualifications
• Strong publication record in one or more of: AI safety, ML security, NLP, cybersecurity (top venues: NeurIPS, ICML, ICLR, ACL, EMNLP, IEEE S&P, USENIX Security, CCS, NDSS)
• Experience working with large language models (training, fine-tuning, or evaluation)
• Experience in cybersecurity, AI safety, trust & safety, integrity, red-teaming, or responsible AI
• Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
Preferred Qualifications
• Experience with large language models, multimodal models, or agentic systems
• Experience with deep learning frameworks such as PyTorch
• Demonstrated ability to work independently and to drive a research project from concept to results
• Intent to return to a degree program after completion of the internship
About Meta
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.
Equal Employment Opportunity
Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.

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