Research Intern, Language and Multimodal AI

Requirements

Currently in the process of obtaining a Bachelor’s degree in Computer Science, Artificial Intelligence, Generative AI, or a related technical field.
Proficiency in Python and JavaScript.
Familiarity with at least one of the following programming languages: Swift, Kotlin, C#, or C++.
Experience building systems leveraging machine perception, machine learning, or deep learning methods.
Strong understanding of computer vision and natural language processing concepts.
Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.
Currently in the process of obtaining a Master’s or PhD degree in Computer Science, Artificial Intelligence, Generative AI, or a related technical field.
Hands-on experience with Generative AI tools and stacks, including Retrieval-Augmented Generation (RAG) tools (e.g., LangChain, LlamaIndex, Anthropic, Bedrock, OpenAI, Ollama).
Practical experience with vector databases (e.g., FAISS, Chroma, Pinecone).
Experience with deep learning frameworks such as PyTorch, TensorFlow, or Keras.
Familiarity with cloud platforms like AWS, GCP, or Azure.
Knowledge of DevOps practices and tools such as Docker, Kubernetes, or ECS.
Experience in embedded development and rapid prototyping with C/C++, Rust, or Python on hardware platforms like Raspberry Pi, Arduino, or ESP32.
Ability to build full-stack applications leveraging AI technologies.
Experience advancing AI techniques, including contributions to open-source libraries and frameworks.
Intent to return to a degree-program after the completion of the internship.
Experience working and communicating cross functionally in a team environment.

Responsibilities

Develop and implement advanced generative AI algorithms and systems using machine learning (ML), computer vision (CV), and large language models (LLMs).
Rapidly prototype and validate new features for wearable devices, smart glasses, and mobile platforms.
Conduct foundational and applied research to advance the fields of machine perception, natural language processing, and multimodal AI.
Collaborate with cross-functional teams of researchers and engineers to deliver impactful results.
Contribute to product development by integrating research findings into scalable solutions.

FAQs

What is the duration of the Research Intern position?

The internship can be 12, 14, or 16 weeks long and will be hosted in Summer 2025.

What educational qualifications are required for this internship?

Applicants should currently be in the process of obtaining a Bachelor’s degree in Computer Science, Artificial Intelligence, Generative AI, or a related technical field.

What programming languages should candidates be proficient in?

Candidates should have proficiency in Python and JavaScript, as well as familiarity with at least one of the following languages: Swift, Kotlin, C#, or C++.

Is there an opportunity for recent graduates to apply?

Yes, students who are currently completing their degree and intend to return to their degree program after the internship are eligible to apply.

What type of experience is preferred for candidates applying for this internship?

Preferred candidates will be pursuing a Master’s or PhD, have hands-on experience with Generative AI tools, and practical experience with vector databases and deep learning frameworks, among other qualifications.

Will the internship focus solely on theoretical research?

No, the internship will involve both foundational and applied research to advance machine perception, natural language processing, and multimodal AI, with an emphasis on practical applications.

Are collaborations with other teams expected during the internship?

Yes, interns will collaborate with cross-functional teams of researchers and engineers to deliver impactful results.

Is prior experience in embedded development a requirement?

While not a strict requirement, experience in embedded development and rapid prototyping is a preferred qualification.

What is Meta's stance on equal employment opportunities?

Meta is an Equal Employment Opportunity and Affirmative Action employer, committed to not discriminating based on various legally protected characteristics.

Will candidates need work authorization for this internship?

Yes, candidates must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.