Research Intern, Language and Multimodal AI
Meta

Job Info

We are a leading organization in artificial intelligence research and development, committed to advancing the field and delivering innovative solutions. As a Research Intern, you will join our Language and Multimodal AI team, focusing on developing novel generative AI algorithms and systems. Your work will contribute to groundbreaking applications across wearable technology, smart glasses, and mobile platforms. You will collaborate with a talented team of researchers and engineers to prototype and implement cutting-edge solutions that have a real-world impact.This internship can be 12, 14, or 16 weeks long and will be hosted in Summer 2025.

Research Intern, Language and Multimodal AI 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.

Minimum Qualifications:

• 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.

Preferred Qualifications:

• 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.

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