AI Core ML Research Intern — Innovate & Build

Meta; City of Westminster; On-site; GBP 20,000 - 27,000; Full time

Job summary

Meta is seeking Research Interns to join Monetization Ranking & AI Foundations, focusing on state-of-the-art ML/AI research and systems. The role involves collaboration with researchers and engineers across disciplines and publication of results for product applications.

Internships are twelve to sixteen, or twenty-four weeks long, with various start dates throughout the year, and require intent to return to a degree program after completion.

Qualifications

• Proven track record of achieving significant research results (grants, fellowships, patents, or first-authored publications).
• Experience with deep learning frameworks such as PyTorch or TensorFlow.
• Experience with Python, C++, C, Java, or other related languages.
• Experience with research and building systems based on ML/DL methods.
• Experience manipulating and analyzing large, high-dimensional data for ML training.

Responsibilities

• Conduct state-of-the-art research to advance the science and technology of Machine Learning and Artificial Intelligence.
• Develop novel algorithms and corresponding systems, leveraging various AI and ML techniques.
• Analyze and improve efficiency, scalability, and stability of corresponding deployed algorithms.
• Collaborate with researchers and engineers across varied disciplines, including communicating research plans, progress, and results.
• Publish research results and contribute to research that can be applied to Meta product development.

Skills

Pytorch

TensorFlow

Python

C++

C

Java

Research experience

Publications

GitHub contributions

Data analysis

Cross-functional collaboration

Education

Pursuing degree program

Tools

GitHub

Job description

Meta is seeking Research Interns to join Monetization Ranking & AI Foundations, focusing on state-of-the-art ML/AI research and systems. The role involves collaboration with researchers and engineers across disciplines and publication of results for product applications.

Internships are twelve to sixteen, or twenty-four weeks long, with various start dates throughout the year, and require intent to return to a degree program after completion.