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

Description

Meta is undertaking a transformative change to its business and technology landscape. Our Machine Learning teams are at the forefront, tackling crucial projects that have never been done before. You will help advance the way people connect around the world by building machine learning systems and models behind Meta’s products, creating web applications that reach millions, and developing high-volume servers. Interns join a team working to connect people globally, with assignments matched to their experience and interests.

PhD 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.
• Gather, refine, and synthesize requirements and create effective feature roadmaps.
• Code deliverables in collaboration with the engineering team.
• Adapt standard machine learning methods to exploit modern parallel environments (e.g., distributed clusters, multicore SMP, and GPU).

Qualifications

• Currently pursuing or in the process of obtaining a PhD in Computer Science, Computer Vision, Machine Learning, or a related field.
• Research and/or work experience in relevant areas 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/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 the completion of the internship/co-op.
• Demonstrated software engineering experience via internship, work experience, coding competitions, or open-source contributions.
• 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.