Machine Learning Engineer (Big Data)

About TikTok
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us
Creation 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.

About
Video Arch is one of the world's leading video platforms that provides media storage, delivery, transcoding, and streaming services. We are building the next generation video processing platform and the largest live streaming network, which provides excellent experiences for billions of users around the world. Popular video products of TikTok and its affiliates are all empowered by our cutting-edge cloud technologies. Working in this team, you will have the opportunity to tackle challenges of large-scale networks all over the world, while leveraging your expertise in coding, algorithms, complexity analysis, and large-scale system design.

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 (e.g., 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, etc.) & proficiency in SQL.

Preferred Qualifications
- 2+ years of industry experience in machine learning/algorithm development and deployment.
- Experience with big data processing frameworks (e.g., Hadoop, Spark) and cloud platforms (e.g., 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.
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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.
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In the spirit of reconciliation, TikTok acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their Elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.
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