Senior ML Engineer – Risk & Community Health (BRIC)

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

Benefits offered by this job

Medical, dental, and vision insurance

401(k) with company match

Parental leave

Short-term and long-term disability

Life insurance

Wellbeing benefits

10 paid holidays per year

10 paid sick days per year

17 days of Paid Personal Time

Job summary

TikTok Inc. in California is seeking a Senior ML Engineer on the BRIC team to design and implement machine learning solutions that mitigate business risks across TikTok, CapCut, and Lark.

You will help build scalable, privacy-friendly risk models and collaborate with engineering, product, data, and security teams to deliver secure and robust systems. The role requires a Master’s degree with hands-on ML experience and strong software skills in Python or Java/C++/Go, plus experience with

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 ML experience.
• 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 data-driven manner.
• Natural curiosity and a strong passion for solving complex problems; willingness to dig deep and explore better solutions.
• Strong collaboration and communication skills to work across engineering, product, data, and cross-functional teams.
• Ability to work with 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 and platforms.
• Improve modeling infrastructures, labels, features and algorithms towards robustness and automation.
• Advance ML capabilities in risk perception, interpretability, privacy, compliance, and adversarial robustness.

Skills

Machine learning fundamentals

Analytical skills

Cross-functional collaboration

Autonomy

Education

Master's degree or above in CS/Stats/ML or related field

Tools

Python

Java

C++

Go

Spark

Hadoop

Hive

LLMs

Job description

TikTok Inc. in California is seeking a Senior ML Engineer on the BRIC team to design and implement machine learning solutions that mitigate business risks across TikTok, CapCut, and Lark.

You will help build scalable, privacy-friendly risk models and collaborate with engineering, product, data, and security teams to deliver secure and robust systems. The role requires a Master’s degree with hands-on ML experience and strong software skills in Python or Java/C++/Go, plus experience with