Research Scientist Intern, AI/ML, Core Ads Growth (PhD)

Overview

Meta is undertaking a transformative shift in its business and technology, with our Machine Learning teams at the forefront. By tackling crucial, unprecedented projects, you will have the opportunity to advance how people connect globally. To meet scale, we approach machine learning challenges from a systems engineering perspective, pushing the boundaries of scalable computing and integrating numerous complex platforms to build models that leverage trillions of actions. Our research and production implementations draw on innovations from Meta’s AI, Distributed Computing, and Databases research and run on hardware and networks aligned with Open Compute Project standards.

About the Internship

As a PhD intern at Meta, you will help build machine learning systems and models behind Meta’s products, create web applications that reach millions, build high-volume servers, and contribute to a team focused on connecting people around the world. Interns are matched to a relevant team based on their experience and interests. Our internships range from twelve (12) to twenty-four (24) weeks, with various start dates throughout the year.

Responsibilities

• Develop highly scalable classifiers and tools leveraging machine learning, regression, and rules-based models.
• Suggest, collect, and synthesize requirements and create effective feature roadmaps.
• Code deliverables in tandem with the engineering team.
• Adapt standard machine learning methods to best exploit modern parallel environments (e.g., distributed clusters, multicore SMP, and GPU).

Qualifications

• Currently pursuing or holding a PhD in Computer Science, Computer Vision, Machine Learning, or a related field.
• Research and/or work experience in a relevant area such as machine learning, deep learning, reinforcement learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, or computer vision.
• Experience in systems software or algorithms.
• Experience coding in Python, C, or C++.
• Must obtain work authorization in the country of employment at the time of hire and maintain ongoing authorization during employment.
• Intent to return to a degree program after completing the internship/co-op.
• Demonstrated software engineering experience via internship, work experience, coding competitions, or open-source contributions.
• Proven track record of significant results, as demonstrated by grants, fellowships, patents, or first-authored publications at leading conferences or journals.
• Demonstrated creativity and quick problem-solving capabilities.
• Experience with large-scale data analysis and processing.
• Interpersonal experience: ability to collaborate across groups and cultures.

Program Details

Internships are twelve (12) to twenty-four (24) weeks in length, with various start dates throughout the year.