Software Engineer Graduate (TikTok Global E-Commerce Recommendation & Search Architecture) - 2027 Start

TIKTOK PTE. LTD.; Singapore; On-site; SGD 70,000 - 110,000; Full time

Benefits offered by this job

Yoga & fitness

Stock options

Positive team atmosphere

Career growth

Paid leave

Flat organization

Large user base (100m+)

Industry experts

Competitive compensation

Flexible hours

Job summary

TikTok PTE. LTD. is expanding its Search Infra team in Singapore to build and optimize the infrastructure behind TikTok Shop's recommendation and search systems.

The role involves collaborating with applied ML engineers to develop scalable, high-performance services for large-scale e-commerce data. Graduates with a degree in AI, CS, or related fields and experience in C/C++, Java, or Golang are encouraged to apply.

Qualifications

• Bachelor's or Master's in AI, Software Development, CS, or related field.
• Experience programming in at least one of C, C++, Java, or Golang.
• Familiar with open source big data frameworks (Hadoop, Hive, Spark, Kafka, etc.).
• Strong communication and ownership.

Responsibilities

• Build and maintain high-performance online services and data pipelines for TikTok Shop recommendation and search systems.
• Design and develop high-performance computing frameworks and storage systems for e-commerce scenarios.
• Develop and optimize search engine architecture for TikTok Shop and distributed systems.
• Ensure production system stability and scale for massive data and business growth.
• Apply data mining, machine learning, and NLP techniques to extract insights from large-scale datasets.
• Collaborate with global teams to drive search and recommendation innovation.

Skills

Programming languages (C, C++, Java, G

Education

Bachelor's or Master's in AI/CS

Tools

Big data frameworks (Hadoop, Hive, Spark)

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.

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

• Yoga and fitness
• Stock options
• Positive team atmosphere
• Career growth opportunity
• Paid leave
• Flat organization
• 100+ mil users
• Industry experts
• Competitive compensation
• Flexible hours

Team Introduction：

E-commerce is a new and fast growing business that aims at connecting all customers to excellent sellers and quality products, through E-commerce live-streaming, E-commerce short videos, and commodity recommendation. Our E-commerce Recommendation and Search Infra team is responsible for building up and optimizing the infrastructure for such recommendation and search systems, so as to provide the best experience for our users. We work closely with applied machine learning engineers and build scalable systems to support all kinds of innovative algorithms and techniques.

The Search team is mainly responsible for the search algorithm innovation and architecture research and development of TikTok Shop. We use cutting-edge machine learning technology for end-to-end modeling and continuous innovation and breakthroughs, while focusing on the construction and performance optimization of distributed systems and machine learning systems.

We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.

Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume.

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities

• Build and maintain high-performance online services and data pipelines for TikTok Shop recommendation and search systems.
• Design and develop high-performance computing frameworks and storage systems for e-commerce scenarios.
• Develop and optimize search engine architecture for TikTok Shop, including retrieval systems and data processing platforms.
• Ensure production system stability and build industry-leading distributed systems for massive data and business scale.
• Apply data mining, machine learning, and NLP techniques to extract insights from large-scale e-commerce datasets.
• Collaborate with global teams to drive search and recommendation innovation for TikTok Shop users worldwide.

Qualifications

• Individuals who are completing or have recently completed a Bachelor's or Master's degree in Artificial Intelligence, Software Development, Computer Science, Computer Engineering or a related discipline. Experience programming in at least one of the following programming languages: C, C++, Java or Golang;
• Effective communication skills and a sense of ownership and drive;
• Experienced in at least one area of the following areas: personalized recommendations, search engine, machine learning, distributed storage system, big data frameworks is a plus.;
• 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. for big data roles.;
• Proficient