Machine Learning Engineer - TikTok BRIC

TIKTOK PTE. LTD.; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

A leading social media platform in Singapore seeks a skilled Machine Learning Engineer to develop solutions addressing business risks across its products. Responsibilities include enhancing modeling infrastructure and driving improvements in risk-related practices, all while ensuring compliance and privacy. Candidates should have a degree in computer science or a related field, strong engineering skills, and a robust background in machine learning. The company values diversity and aims to create an inclusive environment for all employees.

Qualifications

• Degree or above in computer science, statistics, or machine-learning-heavy majors.
• Solid engineering skills with proficiency in Linux, Hadoop, and Spark.
• Strong machine learning background with knowledge of modern theories.

Responsibilities

• Develop machine learning solutions to mitigate business risks.
• Enhance modeling infrastructure, labeling processes, and algorithms.
• Drive improvements in risk-related machine learning practices.

Skills

Machine learning

Linux

Hadoop

Spark

Statistical analysis

Education

Degree in computer science or related field

Tools

Hive

Storm

Job description

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together. That's how we drive impact for ourselves, our company, and the users we serve. Join us.

The Business Risk Integrated Control (BRIC) team is missioned to:

• Protect ByteDance users, including and beyond content consumers, creators, advertisers;
• Secure platform health and community experience authenticity;
• Build infrastructures, platforms and technologies, as well as to collaborate with many cross-functional teams and stakeholders.

The BRIC team works to minimize the damage of inauthentic behaviors on ByteDance platforms (e.g. TikTok, CapCut, Lark), covering multiple classical and novel community and business risk areas such as account integrity, engagement authenticity, anti spam, API abuse, growth fraud, live streaming security and financial safety (ads or e-commerce), etc.

In this team you'll have a unique opportunity to have first‑hand exposure to the strategy of the company in key security initiatives, especially in building scalable and robust, intelligent and privacy‑safe, secure and product‑friendly systems and solutions. Our challenges are not some regular day‑to‑day technical puzzles — You'll be part of a team that's developing novel solutions to first‑seen challenges of a non‑stop evolvement of a phenomenal product eco‑system. The work needs to be fast, transferable, while still down to the ground to making quick and solid differences.

Responsibilities:

• Develop machine learning solutions to proactively address and mitigate business risks across ByteDance products and platforms. These risks include, but are not limited to, abusive accounts, fake engagements, spam redirection, scraping, fraud, and others.
• Enhance modeling infrastructure, labeling processes, feature engineering, and algorithms to improve robustness, automation, and generalization, while reducing both modeling and operational burden on risk management teams and easing the integration of new products and risk areas.
• Drive improvements in risk‑related machine learning practices, focusing on privacy and compliance, interpretability, and advanced risk perception and analysis.

Minimum Qualifications:

• Degree or above in computer science, statistics, or other relevant, machine-learning-heavy majors.
• Solid engineering skills. Proficiency in at least two of: Linux, Hadoop, Hive, Spark, Storm.
• 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.

Preferred Qualification:

• Ability to think critically, objectively, rationally. Reason and communicate in a result-oriented, data-driven manner. High autonomy.

TikTok 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 TikTok, 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.