ML Engineer, Trust & Safety: Scalable AI Systems

HTU

Sydney

Hybrid

AUD 80,000 - 110,000

Full time

14 days+
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Job summary

TikTok’s Trust & Safety team is looking for a Graduate Machine Learning Engineer in Sydney, Australia. You will work with world-class engineers to build scalable classifiers, tools, models and algorithms using machine learning, computer vision and data mining technologies.

We seek candidates with a Bachelor’s or Master’s in CS/SE/CE or related fields, strong knowledge in ML/NLP/data mining/CV, and solid understanding of data structures and algorithms, plus excellent communication and teamwork

Qualifications

  • Bachelor’s or Master’s degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
  • Solid knowledge in machine learning, pattern recognition, NLP, data mining, or computer vision.
  • Firm understanding of data structures and algorithms.
  • Great communication and teamwork skills.

Responsibilities

  • Work with world-class engineers to build industry-leading trust and safety systems for TikTok.
  • Develop and build up highly-scalable classifiers, tools, models and algorithms leveraging machine learning, computer vision and data mining technologies.
  • Improve trust and safety strategy and work on model iterations.
  • Collaborate with cross-functional teams to protect TikTok globally.

Skills

Machine learning
NLP
Data mining
Computer vision
Data structures & algorithms
Communication & teamwork

Education

Bachelor's or Master's in Software Development / Computer Science / Computer Engineering or related technical discipline

Job description

TikTok’s Trust & Safety team is looking for a Graduate Machine Learning Engineer in Sydney, Australia. You will work with world-class engineers to build scalable classifiers, tools, models and algorithms using machine learning, computer vision and data mining technologies.

We seek candidates with a Bachelor’s or Master’s in CS/SE/CE or related fields, strong knowledge in ML/NLP/data mining/CV, and solid understanding of data structures and algorithms, plus excellent communication and teamwork

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