Machine Learning Architect for Risk Mitigation

2 days ago


Singapore TIKTOK PTE. LTD. Full time

As a key member of the TikTok BRIC team, you will play a vital role in developing machine learning solutions to protect ByteDance users and secure platform health.

About Us

TikTok PTE. LTD. is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives.

Job Description

We're seeking a skilled Machine Learning Engineer to join our team in BRIC. Your primary responsibility will be to build scalable and robust machine learning systems that detect and mitigate various types of risks on ByteDance platforms.

You'll work closely with cross-functional teams to design, develop, and deploy cutting-edge machine learning solutions that drive business impact.

Responsibilities

  • Design and develop novel machine learning models to address complex business risks, including abusive accounts, fake engagements, spammy redirection, scraping, and fraud.
  • Improve modeling infrastructures, labels, features, and algorithms towards robustness, automation, and generalization.
  • Uplevel risk machine learning excellence on privacy/compliance, interpretability, risk perception, and analysis.
  • Collaborate with stakeholders to identify areas of improvement and prioritize tasks accordingly.

Requirements

  • Master's degree or above in Computer Science, Statistics, or relevant field.
  • 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.

What We Offer

TikTok offers a competitive salary range of $120,000 - $180,000 per year, depending on experience, plus benefits and bonuses.

How to Apply

If you're passionate about machine learning and eager to make a meaningful impact, please submit your resume and cover letter.



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