Big Data Engineer, TikTok ShortText Recommendation Architecture

TIKTOK PTE. LTD.; Singapore; On-site; SGD 80,000 - 100,000; Full time

Job summary

A leading tech company seeks a skilled individual to work on their recommendation architecture team in Singapore. The role involves designing offline data architectures, troubleshooting production systems, and applying advanced data analytics. Ideal candidates will have a degree in Computer Science, experience with big data frameworks, and programming skills. Join a dynamic team to optimize user experience through innovative solutions.

Benefits

Positive team atmosphere

Flat organization

Industry experts

Qualifications

• At least 1 year of experience in relevant field.
• Familiarity with big data frameworks required.
• Experience in Peta Byte level data processing is a plus.

Responsibilities

• Design and implement offline data architecture for recommendations.
• Troubleshoot production systems ensuring operational stability.
• Apply data mining and machine learning techniques to analytics.

Skills

Open source frameworks experience (Hadoop, Spark, Kafka)

Programming skills (C, C++, Java, Golang)

Effective communication

Ownership and drive

Education

Bachelor's degree in Computer Science or related field

Tools

Hadoop

Spark

ElasticSearch

Kafka

Job description

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 we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.

Diversity & Inclusion

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.

Job highlights

• Positive team atmosphere
• Flat organization
• Industry experts

Eligibility

TikTok will be prioritizing applicants who have a current right to work in Singapore, and do not require TikTok sponsorship of a visa.

About the team

Our Recommendation Architecture Team is responsible for building up and optimizing the architecture for recommendation system to provide the most stable and best experience for our TikTok users. We cover almost all short-text recommendation scenarios in TikTok, such as search suggestions, the video-related search bar, and comment entities. Our recommendation system supports personalized sorting for queries, optimizing the user experience and improving TikTok's search awareness.

Responsibilities

• Design and implement a reasonable offline data architecture for large-scale recommendation systems
• Design and implement flexible, scalable, stable and high-performance storage and computing systems
• Trouble‑shooting of the production system, design and implement the necessary mechanisms and tools to ensure the stability of the overall operation of the production system
• Build industry‑leading distributed systems such as storage and computing to provide reliable infrastructure for massive date and large-scale business systems
• Develop and implement techniques and analytics applications to transform raw data into meaningful information using data‑oriented programming languages and visualisation software
• Applying data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets
• Visualise, interpret, and report data findings and may create dynamic data reports as well

Qualifications

• Bachelor's degree or above, majoring in Computer Science, or related fields, with at least 1 year of experience
• Familiar with many open source frameworks in the field of big data, e.g. Hadoop, Hive, Flink, FlinkSQL, Spark, Kafka, HBase, Redis, RocksDB, ElasticSearch, etc.
• Experience in programming, including but not limited to, the following programming languages: C, C++, Java or Golang
• Effective communication skills and a sense of ownership and drive
• Experience of Peta Byte level data processing is a plus