Senior ML Engineer, Community Health Risk (BRIC)

TikTok; San Jose (CA); On-site; USD 162,000 - 388,000; Full time

Job summary

TikTok in San Jose seeks a Senior Machine Learning Engineer for the BRIC Community Health team. You will design and deploy ML solutions to detect and mitigate business risks across TikTok products, CapCut, and Lark, ensuring account integrity and authentic engagement while safeguarding platform health and user experience.

The role emphasizes building scalable, privacy‑safe, robust systems with cross‑functional collaboration; you’ll push state‑of‑the‑art models, experiment with large‑scale data,

Qualifications

• Master's degree or above in Computer Science, Statistics, Machine Learning, or another relevant technical field, with at least 2 years of hands-on machine learning experience through industry, research, internships, or equivalent project work.
• Strong software engineering fundamentals and proficiency in Python or one of Java/C++/Go, with experience in large-scale data processing technologies such as Spark, Hadoop, or Hive.
• Strong machine learning fundamentals, with research or hands-on experience in areas such as deep learning, representation learning, graph learning, sequence/time-series modeling, transfer/multi-task learning, or unsupervised/self-supervised learning.
• Strong problem-solving and analytical skills, with the ability to reason and communicate in a result-oriented and data-driven manner.
• Natural curiosity and a strong passion for solving complex, ambiguous problems; willingness to dig deep, challenge assumptions, and continuously explore better solutions.
• Strong collaboration and communication skills, with the ability to work effectively across engineering, product, data, system and other cross-functional teams.
• Ability to work with a high degree of autonomy, learn quickly, and adapt to a rapidly evolving risk environment.

Responsibilities

• Build machine learning solutions to respond to and mitigate business risks in TikTok products/platforms. Such risks include and are not limited to abusive accounts, fake engagements, spammy redirection, scraping, fraud, etc.
• Improve modeling infrastructures, labels, features and algorithms towards robustness, automation and generalization, reduce modeling and operational load on risk adversaries and new product/risk ramping-ups.
• Advance machine learning capabilities in areas such as risk perception and analysis, model interpretability, privacy and compliance, and adversarial robustness.

Skills

Python

Java

C++

Go

Machine learning fundamentals

Deep learning

Data analysis

Communication skills

Education

Master's degree or higher in CS/Statistics/ML or related field

Tools

Spark

Hadoop

Hive

Job description

TikTok in San Jose seeks a Senior Machine Learning Engineer for the BRIC Community Health team. You will design and deploy ML solutions to detect and mitigate business risks across TikTok products, CapCut, and Lark, ensuring account integrity and authentic engagement while safeguarding platform health and user experience.

The role emphasizes building scalable, privacy‑safe, robust systems with cross‑functional collaboration; you’ll push state‑of‑the‑art models, experiment with large‑scale data,