Machine Learning Engineer - Trust and Safety Platform

TIKTOK PTE. LTD.; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A leading company in social media is seeking a Machine Learning Engineer to develop advanced models and algorithms for content safety. This role is crucial for enhancing user experience and ensuring compliance with community guidelines, ideal for candidates passionate about cutting-edge technology and problem-solving.

Qualifications

• At least 3 years of relevant experience in specified fields.
• Experience in recommendation systems, search, advertising is a plus.
• Published papers in top AI conferences/journals is beneficial.

Responsibilities

• Build industry-leading content safety systems for TikTok.
• Develop scalable classifiers and models leveraging machine learning.
• Understand product objectives to improve the trust and safety strategy.

Skills

Machine Learning

Computer Vision

Natural Language Processing (NLP)

Data Mining

Pattern Recognition

Communication

Teamwork

Education

Major in Computer Science or Related Technical Discipline

Job description

Responsibilities

Our engineering team is responsible for developing state-of-the-art machine learning models and algorithms to protect our platform and users from the content and behaviors that violate community guidelines and related local regulations. With the continuous efforts from our team, TikTok is able to provide the best user experience and bring joy to everyone in the world.

1. Build industry-leading content safety systems for TikTok;

2. Develop highly-scalable classifiers, tools, models and algorithms leveraging cutting-edge machine learning, computer vision and data mining technologies;

3. Understand product objectives and improve trust and safety strategy and model's performance;

4. Work with cross-functional teams to protect TikTok globally.

Minimum Qualifications

1. Major in computer science or a related technical discipline;

2. At least 3 years of experience in at least one of the following areas: machine learning, pattern recognition, NLP, data mining, or computer vision.

a) Experience in the recommendation, search, advertising, or other related projects.

b) Published papers in the top AI conferences or journals is a plus, including KDD, IJCAI, WWW, WSDM, ICML, NeurIPS, CVPR, ECCV, ICCV, ACL, etc.;

c) Competition experience in machine learning, data mining, CV, NLP and others.

Preferred Qualifications:

1. Experience in content moderation or trust & safety is a plus;

2. Well understanding of data structures and algorithms;

3. Great communication and teamwork skills;

4. Passion for techniques and solving challenging problems.