Software Engineer (Machine Learning), Insider Risk - Global Security Organization

The mission of TikTok s Global Security Organization is to build and earn trust by reducing risk and securing our businesses and products. Also known as "GSO", this team is the foundation of our efforts to keep TikTok safe, secure, and operating at scale for over 1 billion people around the world. We work to ensure that the TikTok platform is safe and secure, that our users experience and their data remains safe from external or internal threats, and that we comply with global regulations wherever TikTok operates.

Trust is one of TikTok s biggest initiatives, and security is integral to our success. In whatever ways users interact with us - whether they re watching videos on their For You page, interacting with a Live video, or buying products on TikTok Shop - GSO protects their data and privacy, so they can have a secure and trustworthy experience.

The GSO provides industry-leading security and privacy services guided by four principles: trust and transparency, business enablement, risk-informed decision-making, and proactive risk reduction. We strive to build sustainable, world-class security capabilities.

This is a Software Engineer role within Global Security s Insider Risk team. In this role, you are responsible for executing the overall strategy for Insider Risk, from automation and detection development, triage to containment, and remediation of Insider Risk incidents. There are two major deliverables for the team, automation development and detection engineering. Automation development focuses on ideating and creating tooling solutions and automated workflows to support investigation analysts and remediate crucial Insider Trust issues. Detection engineering focuses on the creation and maintenance of proactive logic to identify insider risks with high fidelity and at scale to prevent harm to users and to the company.

This role will work cross functionally with various business organizations to detect, mitigate, and remediate instances of Insider Risk through:

• Act as a force multiplier across the business by optimizing processes and gaining alignment across stakeholders. A Software Engineer will be responsible for raising the productivity and efficiency of analysts doing manual investigations and remediations.
• Implement data pipelines to support resource efficient model training, validation, and inference in a petabyte-scale environment.
• Help stakeholders identify relevant strategies for mitigating insider threats for users and the business.
• Maintain and support compliant data flows and automation access to allow for interoperability across various business regions.
• Directly contribute to technical projects via committing code, root cause analyses, code reviews, and architecture design.
• Work with cross functional teams globally to ensure alignment, collect feedback on automations, and deploy solutions to get cross functional adoption. Minimum Qualifications
• Production experience deploying and debugging resource-efficient binary classifiers for anomaly detection
• Experience experimenting with different model architectures
• Experience implementing data pipelines at petabyte scale
• Proficiency in Python and SQL
• Proficiency in algebra/statistics
• Strong technical documentation and reporting skills
• Ability to handle confidential information with discretion

Preferred Qualifications

• Bachelor s degree or industry equivalent work experience in Computer Science or Computer Engineering
• 3+ years of industry experience as a machine learning engineer or machine learning researcher
• Knowledge of common data engineering tooling (e.g. Spark, Kafka) and machine learning approaches (xgboost, SVM, etc.) and popular model architectures (LSTM, Transformers, etc.)
• Knowledge of common training frameworks such as PyTorch, Tensorflow, JAX
• Understanding of security telemetry (i.e. SIEM, EDR, DLP, etc...)
• Working knowledge of cloud platforms (i.e. OCI, GCP, AWS, etc)
• Demonstrates excellent organizational, time management, and problem-solving skills
• Works well within time/budget constraints to solve problems or meet objectives
• Ability to communicate technical concepts to a broad range of technical and non-technical staff