Senior Machine Learning Engineer
1 month ago
About the Role
We are seeking a talented Applied Scientist to join our team at ADCI - BLR - DTA, where you will play a key role in developing machine learning algorithms to detect and prevent ad fraud. As an Applied Scientist, you will be responsible for solving complex problems in advertising fraud detection using deep learning, self-supervised techniques, and representation learning.
Key Responsibilities
- Design and implement machine learning algorithms to detect ad fraud
- Collaborate with cross-functional teams to integrate machine learning models into our advertising platform
- Develop and maintain large-scale data processing pipelines using Hadoop, Spark, and Amazon's cloud services
- Work with big data to build prototypes that work on massive datasets
Requirements
- Experience programming in Java, C++, Python, or related languages
- Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse
- Strong depth and breadth knowledge in machine learning, data mining, and statistics
Preferred Qualifications
- Experience implementing algorithms using both toolkits and self-developed code
- Publications at top-tier peer-reviewed conferences or journals
About ADCI - BLR - DTA
ADCI - BLR - DTA is a fast-growing company with a multi-billion dollar business in advertising. We are committed to building a long-term traffic quality solution that encompasses all Amazon advertising channels and provides state-of-the-art traffic filtering that preserves advertiser trust and saves them hundreds of millions of dollars of wasted spend.
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