Senior Backend Engineer, Risk Systems - Machine Learning Platform

San Jose, California, United States

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About TikTok
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us
Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.
Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.
To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.
At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.
Join us.

The ML Platform team handles machine learning activities within the BRIC department, with two main areas of focus:
1. ML Infrastructure: Encompasses model training, serving, and management.
2. LLM Applications: Utilizes both third-party LLM services and self-hosted open-source models to support various application scenarios in BRIC.

As a Senior Backend Software Engineer, you will:
- Build machine learning solutions to respond to and mitigate business risks in TikTok products/platforms. Such risks include and are not limited to abusive accounts, fake engagements, spammy redirection, scraping, fraud, etc.
- Build modeling infrastructures, LLM applications, labels, features and algorithms towards robustness, automation and generalization, reduce modeling and operational load on risk adversaries and new product/risk ramping-ups.
- Uplevel risk machine learning excellence on privacy/compliance, interpretability, risk perception and analysis.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: LLMs Machine Learning ML infrastructure Model training Open Source Privacy

Perks/benefits: Career development

Region: North America
Country: United States

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