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Machine Learning Engineer Graduate (Trust and Safety Engineering) - 2027 Start (BS/MS) Sydney T ...

Ellis Technologies, Inc.Sydney, New South Wales🇦🇺AustraliaPosted 15 Jul 2026

Quick Overview

Work Type
Hybrid
Schedule
Full Time
Level
Entry Level

Job Description

Machine Learning Engineer Graduate (Trust and Safety Engineering) - 2027 Start (BS/MS)

Location: Sydney

Employment Type: Regular

Job Code: A61654

Responsibilities
  • Work with our world class engineers to build industry leading trust and safety systems for TikTok.
  • Develop and build highly scalable classifiers, tools, models, and algorithms leveraging cutting edge machine learning, computer vision, and data mining technologies.
  • Improve our trust and safety strategy and work on model iterations.
  • Collaborate with cross functional teams to protect TikTok globally.
Qualifications Minimum Qualifications:
  • Individuals who are completing or have recently completed a Bachelor's/Master's degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
  • Solid knowledge in at least one of the following areas: machine learning, pattern recognition, NLP, data mining, or computer vision.
  • Firm understanding of data structures and algorithms.
  • Great communication and teamwork skills.
Preferred Qualifications:
  • Passion about techniques and solving challenging problems.
  • Previous experience in applications of machine learning, pattern recognition, NLP, data mining, or computer vision.
  • Currently pursuing your PhD or Master degree in Computer Science or related engineering field.

Skills

Machine Learning
NLP
Computer Vision

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