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Machine Learning Engineer

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Sydney, Australia TikTok Full time

About the team

Be part of TikTok's groundbreaking Data Application Team within the Video Cloud Infrastructure division, where we empower our Live CDN and ultra-edge CDN service teams to revolutionize video on demand and video streaming through data-driven insights and cutting-edge algorithms. By harnessing the vast log data generated by our CDNs, we develop intelligent tools to optimize performance, minimize costs, and enhance user experiences. As part of our lean and agile team, you'll have the opportunity to make a significant impact and shape the future of video streaming for billions of users worldwide. Responsibilities- Identify issues in online services and provide optimization solutions by analyzing massive log data.- Establish metrics systems and attribution paths for services, provide intelligent alerting and attribution tools to help quickly locate problems and give optimization suggestions.- Develop and optimize machine learning models to drive cost savings and quality optimization for services, utilize big data mining and data algorithms to drive cost savings and quality optimization for services.- Integrate data from various parties to provide globally optimal solutions.- Establish common data capabilities and horizontally promote them to related service parties to avoid reinventing the wheel.- Collaborate with cross-functional teams to deploy machine learning models in production environments and monitor their performance.

Minimum Qualifications- Bachelor's degree and above in Statistics, Mathematics, Computer Science, or a related technical discipline.- Solid understanding of machine learning concepts, algorithms, and frameworks (., TensorFlow, PyTorch).- Familiar with statistics, linear algebra, probability theory, common data structures, and machine learning algorithms; understand the applicable scopes of different algorithms.- Understanding at least one of query engines(mysql/hive/spark/presto/clickhouse, & proficiency in SQL. Preferred Qualifications- 2+ years of industry experience in machine learning/algorithm development and deployment.- Experience with big data processing frameworks (., Hadoop, Spark) and cloud platforms (., AWS, GCP).- Experience with algorithm-related projects in open-source communities.- Understanding of CDN principles and experience in network quality optimization.- Relevant previous work experience in machine learning/algorithm in leading technology companies.- Demonstrates open-mindedness, excellent communication skills, and the ability to thrive in a cross-national collaborative environment while embracing the company culture.---