Description
TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy.

TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo. Why Join UsCreation 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.Our Ads Diagnosis & Optimization team is working on building the next-generation ads bidding & ranking diagnosis platform for TikTok Ads to support that growth and help empower creators, connect people, and explore possibilities.

We are seeking Software Engineers with a solid background in auction, recommendation, or deep learning to help us improve our existing delivery system that optimizes experience and monetization efficiency. You will have the opportunity to partner closely with a fully globalized team to deep dive into engineering design and state-of-the-art machine learning models iteration across many kinds of products growth in a high-impact and fast-paced environment. Some of the world's most challenging technical and business problems are waiting for you to solve.Responsibilities 1.

Understand ads platform objectives and take full advantage of modern machine learning techniques to improve ads relevance and quality delivered to end users.2. Collaborate with Product Managers, Designers, and other disciplines to diagnose delivery problems, optimize experiences and improve monetization efficiency on TikTok.3. Explore and Develop core systems and algorithms, including ads bidding, ads targeting, ads ranking, model serving reliability, etc.4.

Conduct cutting-edge research in auction, recommendation, or deep learning related problems, and apply the technology to different business scenarios.QualificationsMinimum Qualifications:1. Strong knowledge of data structures and algorithms, proficient in at least one coding language, including but not limited to Go, C/C+, Java.

Familiar with Linux development environments, and basic knowledge and skills in statistics.2. Good theoretical grounding in machine learning concepts and techniques (CNN/RNN/LSTM, etc.).3. Curiosity towards new technology and outstanding ability to analyze and solve ads delivery problems.

Preferred Qualifications:1. Familiar with architecture and implementation of at least one mainstream machine learning programming framework (TensorFlow/Pytorch/MXNet). 2. Good understanding in one of the following domains: ads bidding & auction, ads quality control, and online advertising systems (familiar with one or more of these terms: CPC/CPM, CTR/CVR, Ranking/Targeting, Conversion/Budget, Campaign/Creative, Demand/Inventory).

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 tt.accommodations@tiktok.comRegularExperienced.