Senior Machine Learning Engineer, Risk Management -- Agentic AI

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Company: TikTok

Location: San Jose, CA 95123

Description:

Responsibilities

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.

About the Team
The Responsible Recommendation System team is dedicated to safeguarding TikTok's ecosystem and ensuring product success by addressing critical business challenges with innovative AI solutions. The team innovates in content understanding, recommendation systems and agentic AI techniques to improve TikTok content safety and ecosystem.

Responsibilities - What You'II Do
- Design, develop, and deploy an agentic AI system aimed at addressing key risk management challenges and driving innovative product directions.
- Translate complex business problems into robust, production-ready AI solutions using cutting-edge machine learning techniques.
- Collaborate with cross-functional teams to integrate research insights and practical applications into our product roadmap.
- Drive rigorous data-driven analyses to continuously optimize system performance and effectively mitigate risks.
- Conceptualize practical problems and leverage advanced LLM technologies to develop solutions that have a real-world impact.

Qualifications

Minimum Qualifications
- Bachelor's degree in computer science, engineering, or a related field (advanced degree preferred) with significant experience in machine learning and system design.
- Strong programming skills (e.g., Python, C++, etc.) and a proven ability to design scalable, production-grade systems.
- Solid background in information retrieval, natural language processing, and data mining
- Experience with Retrieval-Augmented Generation (RAG) or LLM applications is a plus.
- Demonstrated ability to thrive in a fast-paced environment, delivering innovative machine learning solutions under tight deadlines.
- Excellent problem-solving and conceptualization skills with the aptitude to translate real-world challenges into cutting-edge AI solutions.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2

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