Machine Learning Engineer, Risk Data Mining, Bric - Singapore - NodeFlair

NodeFlair

Verified Company

Singapore

2 weeks ago

Posted by:

Wei Jie

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Description

Job Summary:

Salary
S$7,000 - S$14,000 / Monthly

Job Type

Seniority
Junior

Years of Experience
At least 0 years

Tech Stacks
Strategy Graph API Storm Hive Spark Linux Hadoop

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

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 crossfunctional teams and stakeholders.

The BRIC team works to minimize the damage of inauthentic behaviors on ByteDance platforms (e.g.

TikTok, CapCut, Resso, 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, transferrable, while still down to the ground to making quick and solid differences.

Responsibilities

Build machine learning solutions to respond to and mitigate business risks in ByteDance 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 rampingups.
Uplevel risk machine learning excellence on privacy/compliance, interpretability, risk perception and analysis.

Qualifications

Master or above degree in computer science, statistics, or other relevant, machinelearningheavy majors.
Solid engineering skills.

Proficiency in at least two of:
Linux, Hadoop, Hive, Spark, Storm.

Ability to think critically, objectively, rationally. Reason and communicate in resultoriented, datadriven 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.