Machine Learning Engineer Intern

About the role#

The Recommendation algorithm team is central to the platform, driving critical product decisions and growth. This internship offers hands-on experience, allowing you to utilize your technical knowledge in real-world scenarios while working alongside machine learning researchers and engineers to innovate on production models.

What you'll do#

• Drive the development of industry-leading recommendation systems that elevate user experience, strengthen platform safety, and empower a vibrant content ecosystem.
• Deliver impactful, end-to-end machine learning solutions that tackle high-priority product challenges related to content understanding, LLMs, robustness, and fairness.
• Own and optimize the full-stack ML pipeline, from algorithm design to system infrastructure, to improve recommendation performance.
• Collaborate with cross-functional teams to craft innovative product strategies and develop intelligent solutions that fuel growth in global markets.

What you'll need#

• Currently pursuing a Master degree in Computer Science, Computer Engineering, or a similar field.
• Solid knowledge and experience with at least one popular deep learning framework, such as PyTorch or TensorFlow, and familiarity with deep neural network architectures.
• Proficient in C/C++, Python, and shell programming, with a deep understanding of data structures and algorithm design.
• Good knowledge of theoretical and empirical research in addressing research problems.
• Ability to commit to a 12-week internship during Summer 2026.

Location & details#

• Location: San Jose, California
• Term: Summer 2026 (12 weeks)
• Modality: On-site
• Employment: Full-time, paid internship