Deskripsi Pekerjaan
At TikTok, our mission is to inspire creativity and bring joy. Our Monetization Data Alignment team is the backbone of ensuring our advertising products and data strategies align seamlessly to deliver measurable business outcomes for our global partners.
We are seeking a seasoned Machine Learning Engineer to join this critical team in Singapore. In this capacity, you will sit at the dynamic intersection of advanced AI/ML, massive-scale data processing, and high-impact business strategy. You will design, develop, and deploy state-of-the-art machine learning models that directly enhance our monetization platform, optimizing advertiser value and user experience simultaneously.
Why Join Us?
- Work on cutting-edge AI systems that serve billions of users globally.
- Collaborate with world-class engineers and researchers in a hyper-growth environment.
- Access to massive datasets and unparalleled computational resources.
- Competitive compensation, benefits, and opportunities for rapid career progression.
As a key member of our world-class engineering organization, you will work with petabytes of data to solve complex challenges in recommendation systems, prediction, attribution, and bidding strategies. You will have the unique opportunity to see your models deployed and their impact measured in real-time across one of the world's most popular applications.
The Monetization Data Alignment team focuses on aligning diverse data sources, ensuring data quality, and building the ML infrastructure that powers our intelligent advertising systems. You will collaborate closely with Product, Data Science, and Engineering teams to identify opportunities, define technical roadmaps, and drive execution from ideation to production.
We foster a culture of experimentation and continuous learning. Expect to contribute to thought leadership, engage in knowledge sharing, and participate in shaping the technical architecture of our systems. If you are passionate about leveraging big data to solve hard business problems and thrive in a fast-paced, innovative environment, we want to hear from you.
Join us in shaping the future of the digital economy at TikTok, where your work will directly impact billions of users and countless businesses worldwide.
Tanggung Jawab
- Design, develop, and deploy large-scale machine learning models to optimize TikTok's global monetization systems, including ads ranking, bidding, and attribution.
- Collaborate with cross-functional teams (Product, Data Science, Engineering) to align data strategy with business goals, ensuring the integrity and usability of monetization data.
- Conduct A/B testing and experimentation to validate model performance and drive data-informed decisions for revenue growth.
- Build and maintain robust data pipelines and ML infrastructure to support real-time and batch inference at scale.
- Analyze petabyte-scale datasets to uncover trends, identify optimization opportunities, and develop predictive models that enhance advertiser ROI.
- Mentor junior engineers and contribute to the team's technical roadmap, best practices, and code review processes.
- Stay abreast of the latest research in machine learning, deep learning, and reinforcement learning, proactively applying relevant advances to improve monetization products.
Kualifikasi
- Bachelor's, Master's, or PhD degree in Computer Science, Machine Learning, Statistics, or a related quantitative field.
- Proven experience (3+ years) in developing and deploying machine learning models in a production environment.
- Strong programming skills in Python, Go, C++, or similar languages, with a deep understanding of data structures and algorithms.
- Extensive experience with machine learning frameworks such as TensorFlow, PyTorch, or similar.
- Hands-on experience with large-scale data processing tools (e.g., Spark, Flink, Kafka, Hive) and feature engineering.
- Solid understanding of modern ML techniques, including deep learning, recommendation systems, CTR prediction, and NLP.
- Excellent problem-solving skills and the ability to thrive in a fast-paced, collaborative environment.
- Experience with online advertising, bidding systems, or marketplace dynamics is a strong plus.