Research Scientist Intern, AI Core Machine Learning (PhD)

Join Meta as a Research Scientist Intern, AI Core Machine Learning (PhD)

Meta is dedicated to advancing artificial intelligence by developing cutting-edge technologies that help us interact with and comprehend our world better. We invite passionate individuals to explore internship opportunities in areas such as deep learning, computer vision, optimization, natural language processing, machine learning, reinforcement learning, computational statistics, applied mathematics, and security/privacy.

About the Internship

Our Research Scientist Interns have the unique opportunity to contribute to core algorithmic advancements and apply their groundbreaking ideas on a massive scale. Internship durations range from twelve (12) to sixteen (16), or twenty-four (24) weeks, with various start dates available throughout the year.

Key Responsibilities

• Develop novel state-of-the-art algorithms and corresponding systems using deep learning techniques
• Analyze and enhance the efficiency, scalability, stability, fairness, security, and privacy of algorithms and systems
• Conduct state-of-the-art research to further the science and technology of Machine Learning and Artificial Intelligence
• Collaborate with researchers and cross-functional partners, effectively communicating research plans, progress, and results
• Publish research findings and contribute to projects that influence Meta product development

Minimum Qualifications

• Currently pursuing or in the process of obtaining a Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field
• Must secure work authorization in the country of employment at the time of hire and maintain it throughout the employment
• Proficiency in programming languages like Python, C++, C, Java or similar
• Experience with deep learning frameworks such as Pytorch or Tensorflow

Preferred Qualifications

• Intent to return to the degree program after the internship/co-op
• Proven track record of significant achievements through grants, fellowships, patents, or publications at leading conferences such as NeurIPS, ICLR, and others
• Experience in solving analytical problems using quantitative approaches
• Experience building and training large-scale machine learning systems
• Ability to communicate complex research clearly and effectively
• Previous software engineering experience through internships, work, coding competitions, or open-source contributions
• Experience working collaboratively in a cross-functional team environment

Compensation

The monthly salary for this position ranges from $7,650 to $11,333, depending on skills, qualifications, experience, and location. This compensation range reflects the base salary only and does not include bonuses, equity, or sales incentives. Additionally, Meta offers comprehensive benefits.

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. Initially launched as Facebook in 2004, Meta revolutionized digital connection. Apps like Messenger, Instagram, and WhatsApp further empowered billions globally. Today, Meta is pioneering immersive experiences like augmented and virtual reality, aiming to shape the next evolution in social technology.

Meta is committed to providing reasonable accommodations for candidates with disabilities, long-term conditions, mental health challenges, sincerely held religious beliefs, or pregnancy-related support. If you need assistance, please reach out to [email protected].

Begin your journey with Meta and help shape the future of digital connection beyond the limits of screens, distance, and current technology.