Back to Job Listings

Machine Learning Engineer, Risk Data Mining, BRIC – Singapore

SpringCube

Full time - Senior Associate/ Asst Manager

Social Networking & Media

Singapore ( Onsite )

Published 4 weeks ago

Salary: SGD5,000 - SGD10,000

Contact Employer
  • Share:
Send Feedback
Report This Job

Job Description

The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.

Company Overview

A leading destination for short-form mobile video. Their mission is to inspire creativity and bring joy. They have global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo. Their people are humble, intelligent, compassionate and creative. They create to inspire – for you, for them, and for more than 1 billion users on their platform. They lead with curiosity and aim for the highest, never shying away from taking calculated risks and embracing ambiguity1 as it comes. Here, the opportunities are limitless for those who dare to pursue bold ideas that exist just beyond the boundary of possibility.

Job Title: Machine Learning Engineer, Risk Data Mining, BRIC – Singapore

Job Description

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

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

Disclaimer

SpringCube curates tech job listings from various company websites to support tech professionals in Singapore.

  1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
  2. No Client Relationship: This company is not a client of SpringCube unless stated.
  3. To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job.
  4. No Liability: SpringCube is not liable for inaccuracies.