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

Responsibilities
The mission of Tik

Tok'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 Tik

Tok safe, secure, and operating at scale for over 1 billion people around the world. We work to ensure that the Tik

Tok 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 Tik

Tok operates.

Trust is one of Tik

Tok'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 Tik

Tok 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.

Qualifications
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 Py

Torch, 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

About Tik

Tok
Tik

Tok is the leading destination for short-form mobile video. At Tik

Tok, our mission is to inspire creativity and bring joy. Tik

Tok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us
Inspiring creativity is at the core of Tik

Tok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.

Diversity & Inclusion
Tik

Tok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At Tik

Tok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.