ML Specialist, Trust and Safety

Responsibilities:

1. Collaborate with algo R&D and engineers to manage and optimise model service stability, ensuring stability of model lifecycle operation.
2. Monitor and report on model performance, identify areas for improvement and implement necessary adjustments via solid root causes analyses.
3. Responsible for resource management and planning of machine learning resources, including: cost and budget, resource efficiency enhancement, offline and online resources tides, etc.

Qualifications:

1. Bachelor's degree in Computer Science, Statistics, Data Science, Data Analytics or a related field. An advanced degree (Master's, PhD) is preferred.
2. Extensive experience in machine learning, data science, and data governance. Proven experience in implementing MLOps processes is a plus.
3. Passionate about technology, product and innovation; Solid knowledge of ML models (e.g. CV, NLP, OCR, Audio, Multimodel) and frameworks (e.g. few-shot learning etc); Proficiency in SQL and Python; Prior experience with pre-trained models like CLIP is a plus.
4. Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment.
5. Good communication skills and enjoy working with diverse teams globally.

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 we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.