Trust & Safety ML Engineer — Build Safe AI Systems

NWU; Sydney; Hybrid; AUD 70,000 - 110,000; Full time

Job summary

TikTok in Sydney is seeking a graduate Machine Learning Engineer to work with world-class engineers on trust and safety systems. You will develop scalable classifiers, tools, models and algorithms using cutting-edge ML, computer vision and data mining technologies.

You will contribute to improving safety strategy and model iterations while collaborating with cross-functional teams to protect users worldwide. The role targets recent graduates starting their careers in a fast-paced environment.

Qualifications

• Candidates completing or recently completing a Bachelor's/Master's in Software Development, CS, CE, or related field.
• Solid knowledge in ML, pattern recognition, NLP, data mining, or CV.
• Strong data structures and algorithms fundamentals.
• Excellent communication and teamwork skills.

Responsibilities

• Work with world-class engineers to build trust and safety systems.
• 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.

Skills

Bachelor/Master degree

ML/NLP/CV

Data structures & algorithms

Communication & teamwork

Education

Bachelor's degree

Master's degree

Job description

TikTok in Sydney is seeking a graduate Machine Learning Engineer to work with world-class engineers on trust and safety systems. You will develop scalable classifiers, tools, models and algorithms using cutting-edge ML, computer vision and data mining technologies.

You will contribute to improving safety strategy and model iterations while collaborating with cross-functional teams to protect users worldwide. The role targets recent graduates starting their careers in a fast-paced environment.