Software Engineer, Ads Measurement Signal

sioned to develop our advertiser-facing product solutions that ensures successful signal lifecycle and build our signal infrastructure that handles large volume of signals across diverse channels (web, app, offline, CRM, etc). Under the evolving privacy preserving environment, the team will be responsible for exploring and implementing cutting-edge measurement technologies, to protect user privacy and at the same time, providing high value to advertisers. You will play a key role in working with cross-functional teams to continuously improve comprehensive measurement and influence signal utilization in different ads products.

Responsibilities:

• Build various products to handle signal integration, management and insights through both building in-house TT cutting edge solutions and dealing with many third-party data partners integrations.
• Design, build and maintain scalable and future-proof tech foundations to manage data collection and data quality.
• Apply machine learning and nlp techniques to maximize the efficiency of our products.
• Work with cross-functional teams (inc. product, data scientist, UX, compliance) to continuously improve comprehensive measurement.
• Lead and manage development of products and processes to respond to urgent business needs.
• Identify, explore and implement cutting-edge advertising technologies.

Qualifications

• BS/MS Degree in Computer Science, Computer Engineering or relevant technical field
• Strong knowledge of data structures and algorithms, proficient in at least one coding language, including but not limited to Go, Javascript, Java, C++.
• Solid domain knowledge on Machine Learning.
• Excellent communication, teamwork skills and ability to work under pressure. Strong ownership.
• Curiosity towards new technologies and solutions, and outstanding ability to analyze and solve problems.

Preferred Qualifications:

• 3+ years working experience in ad domain.
• Experience with measurement technologies, such as Web/App tracking, SKAN, PCM, MMP, Privacy Sandbox. Specific production practices are preferred.

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.