Big Data Engineer Graduate (Application Computing, Data + AI) - 2026 Start (BS/MS)

Recommendation Architecture Team is responsible for designing and developing the architecture and computing systems that power the recommendation engines behind products with over a billion users. The team ensures system stability and high availability, abstracts general‑purpose real‑time and batch computing frameworks, and builds flexible, scalable, high‑performance storage systems and computing models. We provide core infrastructure and general‑purpose components for key areas such as deduplication, counting, feature generation, training pipelines, and stream‑batch computing engines, enabling the success of recommendation services at scale.

We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at our Company.

Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.

Responsibilities

• Design and implement scalable distributed computing and training systems for large‑scale recommendation systems.
• Build flexible, extensible, stable, and high‑performance components for offline storage, computing, and training.
• Perform troubleshooting for production systems, and design and develop tools and mechanisms to ensure system stability and reliability.
• Develop industry‑leading distributed training and computing frameworks for recommendation systems, providing robust infrastructure for massive datasets and large‑scale business systems.

Qualifications

Minimum Qualifications

• Individuals who are completing or have recently completed a Bachelor’s/ Master’s degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
• Passionate about computer science and internet technologies. Proficient in programming languages such as Java, C++, Scala, or Python.
• Interested in data lake technologies like Hudi, Iceberg, or Paimon, and in distributed AI ecosystems such as Ray, PyTorch, Flink, or Spark.

Preferred Qualifications

• Solid foundation in computer science, with deep understanding of data structures, algorithms, and operating systems.
• Strong logical and analytical skills, with the ability to abstract and decompose complex business logic.
• Strong curiosity and learning ability; capable of reading and understanding cutting‑edge research papers, excellent communication and collaboration skills.