Research Scientist Intern, Code Generation (Msc)

Meta was built to help people connect and share, and over the last decade our tools have played a critical part in changing how people around the world communicate with one another. With over a billion people using the service and more than fifty offices around the globe, a career at Meta offers countless ways to make an impact in a fast growing organization. We are committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in areas such as deep learning, code generation, compilers, programming languages, natural language processing, machine learning, computational statistics, and applied mathematics. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale. We offer twelve (12) to twenty-four (24) weeks long internships and we have various start dates throughout the year.

Responsibilities

Contribute to research that can be applied to Meta product development.

• Develop novel and accurate Code Generation, World Modeling, and systems, leveraging Deep Learning and Machine Learning on big data resources.

• Analyze and improve efficiency, scalability, and stability of various deployed systems.

• 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.

Minimum Qualifications

• Currently is in the process of obtaining a Masters degree in Computer Science, Artificial Intelligence, Natural Language Processing, Programming Languages, Compilation, or relevant technical field

• Have a strong interest in working on applications on real world problems

• Experience with Python, C++, C, Java or other related languages

• Experience with deep learning frameworks such as Pytorch or Tensorflow

• Experience building systems based on machine learning and/or deep learning methods

• Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment

Preferred Qualifications

• Intent to return to a degree program after the completion of the internship

• Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, ICLR, ICML, ACL, NAACL, EMNLP, or similar

• Experience with ML areas such as Code Generation, Natural Language Processing, Speech, Multimodal Reasoning & Retrieval

• Experience manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources

• Experience with training deep neural networks for Code / NLP tasks

• Experience with interpreting deep neural networks mechanistically, correlating their observable behavior with properties of model parameters and activations

• 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

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.