Machine Learning Engineer Graduate (BRIC) - 2026 Start (BS/MS)

Tiktok • San Jose, CA

69d

About The Position

The Business Risk Integrated Control (BRIC) team is searching for talented interns to help us solve one of the internet's toughest challenges: protecting a global community from sophisticated, adversarial threats. We are the engineering team responsible for the security and authenticity of TikTok, CapCut, and more. We stop spam, shut down fraud, prevent account takeovers, and ensure the interactions on our platform are genuine.

Requirements

• Bachelor's or Master's degree in Computer Science or related fields or equivalent practical experience.
• Final year or recent graduate with a background in Computer Science, Statistics, or other relevant, machine-learning-heavy majors.
• Solid engineering skills. Familiar with at least two: Linux, Hadoop, Hive, Spark, Storm.
• Ability to think critically, objectively, rationally. Reason and communicate in result-oriented, data-driven manner. High autonomy.

Nice To Haves

• Strong machine learning background. Proficiency or publications in modern machine learning theories and applications such as deep neural nets, transfer/multi-task learning, reinforcement learning, time series or graph unsupervised learning.
• Curiosity towards new technologies and entrepreneurship.
• High levels of creativity and quick problem-solving capabilities.

Responsibilities

• Tackle Real-World Adversarial Problems: You'll work on detecting fake engagement, API abuse, and financial fraud.
• Build Models at Massive Scale: Your work will involve analyzing billions of data points to find and stop bad actors.
• Push the Boundaries of AI: You'll have the chance to work with state-of-the-art techniques like Graph Neural Networks (GNNs), Transformers, and LLMs to model complex user behavior.
• Build machine learning solutions to respond to and mitigate business risks in TikTok products/platforms.
• Improve modeling infrastructures, labels, features and algorithms towards robustness, automation and generalization.
• Uplevel risk machine learning excellence on privacy/compliance, interpretability, risk perception and analysis.

What This Job Offers

• Career Level: Intern
• Industry: Broadcasting and Content Providers
• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees