Senior Machine Learning Engineer, TikTok BRIC Community Health

TikTok
San Jose
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningEducation: mastersSkills: ["Problem-solving","Analytical skills","Collaboration","Communication","Autonomy"]

Build machine learning solutions for business risk and community integrity across TikTok products, including content authenticity, spam/abuse mitigation, scraping and fraud response. Improve robustness through better labels, features, and algorithms, advancing ML capabilities in risk perception, analysis, interpretability, privacy/compliance, and adversarial robustness. Collaborate across engineering, product, and data teams to deploy scalable, automated risk systems that reduce operational load and adapt to fast-evolving challenges.

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FursaFursa
TikTok
TikTok
11 hours ago

Senior Machine Learning Engineer, TikTok BRIC Community Health

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 11 hours agoStatus: Live

Job Summary

Build machine learning solutions for business risk and community integrity across TikTok products, including content authenticity, spam/abuse mitigation, scraping and fraud response. Improve robustness through better labels, features, and algorithms, advancing ML capabilities in risk perception, analysis, interpretability, privacy/compliance, and adversarial robustness. Collaborate across engineering, product, and data teams to deploy scalable, automated risk systems that reduce operational load and adapt to fast-evolving challenges.
Location: San Jose
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Build machine learning solutions to respond to and mitigate business risks across TikTok products and platforms, including abusive accounts, fake engagements, spammy redirection, scraping, and fraud.
  • •Improve modeling infrastructures, labels, features, and algorithms to enhance robustness, automation, and generalization while reducing modeling and operational load on risk adversaries.
  • •Advance ML capabilities for risk perception and analysis, with focus on model interpretability, privacy and compliance, and adversarial robustness.

Key Requirements

  • •Master’s degree or above in Computer Science, Statistics, Machine Learning, or a relevant technical field, with at least 2 years of hands-on machine learning experience.
  • •Strong software engineering fundamentals and proficiency in Python or Java/C++/Go, with experience in large-scale data processing (Spark, Hadoop, Hive).
  • •Strong machine learning fundamentals including areas like deep learning, representation learning, graph learning, or sequence/time-series modeling.
  • •Strong problem-solving and analytical skills, able to reason and communicate in a data-driven, result-oriented way.
  • •Ability to collaborate across engineering, product, data, systems, and other cross-functional teams with high autonomy in a fast-evolving risk environment.
Experience:Machine learningRiskFraudSpamAbuse detection
Education:Master's
Skills:Problem-solvingAnalytical skillsCollaborationCommunicationAutonomy
Tech Stack:PythonJavaC++GoSparkHadoopHiveDeep learningRepresentation learningGraph learningSequence modelingTime-series modelingTransfer learningMulti-task learningUnsupervised learningSelf-supervised learningLLMsGenerative AIRetrievalAgentic workflows

Company Brief

TikTok
Short-form video platform that lets users create, share, and discover entertainment content through algorithmic recommendations. It also offers advertising and creator tools for brands, influencers, and businesses.
Industry: Digital Media
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Headquarters: Singapore, Singapore
Founded: 2016
WebsiteLinkedIn