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

Overview

Meta is embarking on a transformative change to its business and technology, with Machine Learning teams at the forefront. By tackling crucial projects and initiatives that have never been done before, you will help advance the way people connect around the world.

To meet the demands of scale, we approach machine learning challenges from a system 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 the same hardware and network specifications that are open sourced through the Open Compute project.

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 of people, build high-volume servers, and be part of a team striving to connect people around the globe.

PhD interns are matched to a relevant team based on their experience and interests as part of our hiring process. Our internships are twelve (12) to twenty-four (24) weeks long, 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 GPUs).

Qualifications

• Currently pursuing or having obtained 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.
• Proficiency in Python and C/C++.
• Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.
• Intent to return to a degree program after completion of the internship/co-op.
• Demonstrated software engineering experience via an internship, work experience, coding competitions, or open-source contributions.
• A proven track record of significant results 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.