Research Scientist Intern, AI Core Machine Learning (PhD)

Meta is seeking passionate PhD Research Scientist Interns for their AI Core Machine Learning team, offering a unique opportunity to make fundamental advances in artificial intelligence technologies. This internship, lasting 12-16 or 24 weeks, is perfect for candidates pursuing a PhD in Computer Science, Machine Learning, or related fields.

The role involves developing cutting-edge algorithms and systems using advanced deep learning techniques, with a focus on improving efficiency, scalability, stability, fairness, security, and privacy. You'll be working on state-of-the-art research that directly contributes to Meta's product development, while having the opportunity to publish your findings at leading conferences.

As an intern, you'll collaborate with renowned researchers and cross-functional teams, communicating research plans and results. The position requires strong programming skills in languages like Python, Java, or C++, and experience with deep learning frameworks such as PyTorch or TensorFlow.

Meta offers a competitive compensation package, with monthly salaries ranging from $7,800 to $11,293. The company's commitment to advancing AI technology, combined with its massive scale and impact, makes this an exceptional opportunity for PhD candidates looking to make significant contributions to the field of artificial intelligence while gaining valuable industry experience.

The ideal candidate should have a demonstrated track record of achieving significant results, as shown through publications, grants, or fellowships. Experience with large-scale machine learning systems and the ability to communicate complex research clearly are highly valued. This role is perfect for someone who wants to be at the forefront of AI innovation while working with some of the best minds in the industry at a company that reaches billions of users worldwide.