PhD ML Engineer: Trust & Safety Innovator

TikTok Inc.

Sydney

On-site

AUD 70,000 - 100,000

Full time

14 days+

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Job summary

TikTok is seeking a graduate Machine Learning Engineer to join the Trust & Safety team in Sydney. You will collaborate on research projects, work with world-class engineers, and develop scalable ML classifiers and models leveraging ML, CV and data mining techniques.

Rollout includes product prototyping and risk management initiatives across TikTok's platforms. Ideal candidates are advancing a PhD or Master in CS or related field, with strong knowledge in ML, NLP, data mining, pattern recognition

Qualifications

  • Pursuing PhD or Master in CS or related engineering field.
  • Solid knowledge in at least one of: machine learning, pattern recognition, NLP, data mining, or computer vision.
  • Firm understanding of data structures and algorithms.
  • Great communication and teamwork skills.
  • Preferred: passion about ML problems.

Responsibilities

  • Collaborate on research projects within the team or across countries.
  • Work with engineers to build trust and safety systems and ML models.
  • Develop scalable classifiers, tools, models, and algorithms using ML, CV, and data mining.
  • Improve trust and safety strategy and iterate models.
  • Collaborate with cross-functional teams to protect TikTok globally.
  • Present research outcomes to internal audiences.
  • Apply research to product prototyping and real-world challenges.
  • Prototype and explore novel ML solutions and conduct experiments.

Skills

Machine learning
Pattern recognition
NLP
Data mining
Computer vision
Data structures and algorithms
Communication
Teamwork

Education

PhD or Master in CS or related field

Job description

TikTok is seeking a graduate Machine Learning Engineer to join the Trust & Safety team in Sydney. You will collaborate on research projects, work with world-class engineers, and develop scalable ML classifiers and models leveraging ML, CV and data mining techniques.

Rollout includes product prototyping and risk management initiatives across TikTok's platforms. Ideal candidates are advancing a PhD or Master in CS or related field, with strong knowledge in ML, NLP, data mining, pattern recognition

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