ML Engineer - Real-Time Ads & Privacy

TikTok Inc.; San Jose (CA); Presencial; USD 162.000 - 317.000; Jornada completa

Descripción de la vacante

TikTok Inc. in San Jose, CA, is seeking a senior ML engineer to join the Ads Measurement Signal and Privacy (MSP) team. You will help build security, governance, and privacy infrastructure for the ads system and ensure compliance with global regulations.

You will develop ML/LLM algorithms for signal matching at millions of QPS, optimize ranking, lead real-time deployment of models, and collaborate with product teams to shape ads strategies and features.

Formación

• Bachelor's or Master's degree in CS/CE or related fields.
• Proficient in Go, C/C++, Python.
• Experience building ML/deep learning models at large internet companies in search, ads, or recommender systems.

Responsabilidades

• Developing advanced ML and LLM algorithms for signal matching systems at the scale of millions of QPS.
• Iterating and optimizing ranking algorithms and strategies through data analysis and experimentation.
• Leading the development and operational work of large-scale, distributed real-time systems for testing, integrating, and deploying machine learning models.
• Creating algorithms and data-driven solutions that utilize one of the world's richest user behavior datasets for various ads-related use cases, such as ads ranking, targeting, bidding, calibration, and reporting.
• Collaborating with product teams to define product strategies and features.

Conocimientos

Go

C/C++

Python

ML algorithms

Large-scale systems

Educación

Bachelor's or Master's in Computer Science/Engineering or related

Descripción del empleo

TikTok Inc. in San Jose, CA, is seeking a senior ML engineer to join the Ads Measurement Signal and Privacy (MSP) team. You will help build security, governance, and privacy infrastructure for the ads system and ensure compliance with global regulations.

You will develop ML/LLM algorithms for signal matching at millions of QPS, optimize ranking, lead real-time deployment of models, and collaborate with product teams to shape ads strategies and features.