Posted by Overview
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, WhatsApp, and Novi further empowered billions around the world.
Meta Internship 2025, Meta Careers Opportunities for Graduates Fresher, Entry Level, Mid Level and Experience Professionals in various domain such Technology, Engineering, Cyber securities, AI, Robotics, Digital, Operation and many more
Do you feel that you can do more than what your network’s growth allows? Do you want to solve problems that can only be seen in large scale environments? Do you want to work on one of the most dynamic, fast-paced networks in the world? Do you want to develop innovative solutions to our challenges and ship them into production? Then this is the role for you!
Meta Graduate Internship 2025
Enterprise Network Engineer, University Grad – Europe
Troubleshoot network issues and outages, and implement solutions to prevent recurrence
Collaborate with other engineering groups to ensure our network infrastructure continues to support applications and services effectively
Monitor network performance and integrity, and make adjustments as needed to ensure optimal performance and reliability
Participate in on-call rotation for network support
Build tools in support of network data analysis and production execution
Develop optimized network monitoring systems
Develop automated methods to mitigate and remediate network events
Analyze data to diagnose and identify root causes to network issues
Be an active participant in technical discussions
Develop and maintain consistency within the network infrastructure
Qualifications
Currently has, or is in the process of obtaining a Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
Experience with computer networks
Experience with UNIX, TCP/IP, network fundamentals, or similar
Experience coding in at least one language (Python/Golang/Rust/C++ are all in use)
Experience learning new concepts around network design and management
Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
Preferred Qualifications
Knowledge of Switching and Routing concepts and implementation
Knowledge of routing protocols BGP, OSPF and ISIS
Knowledge of tunneling protocols SRv6, MPLS
For more details to apply, Click here!
Research Scientist, Computer Vision for Generative AI – Switzerland
Meta is seeking a Research Scientist to join our Media Foundation Modeling team in advancing the state-of-the-art of image and video foundation models. The ideal candidate will have an interest in producing and applying new science to help us develop and define the future of content creation, productivity and social media.
Research Scientist, Computer Vision for Generative AI Responsibilities
Lead, collaborate, and execute on research that pushes forward the state of the art in media generation research
Work with researchers to develop input architectures that combine vision and language
Collaborate and work across teams to develop concepts that advance the entire product pipeline (hardware, software, data collection, machine learning, etc.)
Prioritize research that can be applied to Meta’s product development
Qualifications:
Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Currently has or is in the process of obtaining a PhD in the field of Computer Science, Artificial Intelligence, or a related field
3+ years of experience in AI
Publications in areas of machine learning and computer vision
Experience in developing interactive solutions for computer vision, Natural Language Processing, or computer graphics
Experience working with PyTorch or TensorFlow
Experience with sequence modeling, domain adaptation or representation disentanglement
Experience designing data collection protocols and quality control
Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
Preferred Qualifications
First author publications experience at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL)
For more details to apply, Click here!
Product Security Engineer (University Grad)
Job Responsibilities
Security Reviews: perform manual design and implementation reviews of products and services that make up the Meta ecosystem, like Instagram, WhatsApp, Oculus, Portal, and more
Developer Guidance: provide guidance and education to developers that help prevent the authoring of vulnerabilities
Automated Analysis and Secure Frameworks: build automation (static and dynamic analysis) and frameworks with software engineers that enable Meta to scale consistently across all of our products
Research, develop, and apply mitigations to products so that vulnerabilities cannot be turned into exploits
Qualifications
Currently has, or is in the process of obtaining a Bachelor’s or Masters degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
Experience finding vulnerabilities in compiled/interpreted languages (C, C++, python)
Knowledge of secure code development
Experience with exploiting common security vulnerabilities
Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
Preferred Qualifications
Contributions to the security community (public research, blogging, presentations, bug bounty, etc.)
Track record of participation in capture the flag (CTF) competitions
For more details to apply, Click here!
Research Scientist Intern, AI Core Machine Learning (PhD)
We are seeking individuals passionate in areas such as deep learning, computer vision, optimization, natural language processing, machine learning, reinforcement learning, computational statistics, applied mathematics and security/privacy. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale.
Our internships are twelve (12) to sixteen (16), or twenty-four (24) weeks long and we have various start dates throughout the year.
Job Responsibilities:
Develop novel state-of-the-art algorithms and corresponding systems, leveraging various deep learning techniques
Analyze and improve various aspects of the corresponding algorithms and systems, including efficiency, scalability, stability, fairness, security, and privacy
Perform state of the art research to advance the science and technology of Machine Learning and Artificial Intelligence
Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results
Publish research results and contribute to research that can be applied to Meta product development
Qualifications
Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Machine Learning, Artificial Intelligence, or relevant technical field
Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment
Experience with Python, C++, C, Java or other related languages
Experience with deep learning frameworks such as Pytorch or Tensorflow
Preferred Qualifications
Intent to return to degree program after the completion of the internship/co-op
Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops or conferences such as NeurIPS, ICLR, AAAI, RecSys, KDD, IJCAI, CVPR, ECCV, ACL, NAACL, EACL, ICASSP, CCS, IEEE S&P, MLSys, or similar
Demonstrated experience and self-driven motivation in solving analytical problems using quantitative approaches
Experience building large-scale machine learning systems and training with large datasets
Experience communicating complex research in a clear, precise, and actionable manner
Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
Experience working and communicating cross functionally in a team environment
For more details to apply, Click here!