TikTok22 followers44 jobs

Machine Learning Engineer - Trust and Safety, NLP (Australia)

Mid levelFull-timeHybridSydney NSW, AustraliaDataInformation technologySoftware engineeringPosted 2 months ago
Pending fitX of Y criteria met

About the job

This job is about building a safer online community at TikTok through innovative Trust & Safety initiatives. By designing and deploying advanced machine learning models, you will play a crucial role in ensuring that users can discover, create, and connect safely. The team thrives on collaboration, creativity, and a shared passion for tackling challenging problems together.

Meet the team

About the company

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Think you're a good fit?See what the hiring team are looking for

You'll be responsible for

🛡️

Building content safety systems

Building industry-leading content safety systems for TikTok to ensure a safe user experience.
🔍

Developing classifiers and algorithms

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

Collaborating with cross-functional teams

Working with cross-functional teams to protect TikTok globally and improve trust and safety strategies.

Key criteria

🔍

3+ years in machine learning or related fields

Demonstrated experience in machine learning, deep learning, or NLP.

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🛠️

Proficiency in deep learning frameworks

Skilled in using PyTorch and TensorFlow for model development.

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💻

Strong programming skills in Python

Solid understanding of data structures and algorithms.

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View your fit

5 criteria for this job
3+ years in machine learning or related fields
Demonstrated experience in machine learning, deep learning, or NLP.

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Proficiency in deep learning frameworks
Skilled in using PyTorch and TensorFlow for model development.

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Strong programming skills in Python
Solid understanding of data structures and algorithms.

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Experience with data analysis
Ability to identify patterns and insights from data.

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Published research in AI conferences
Contributions to top AI journals or conferences are a plus.

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A meaningful career starts with a match

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