Recall Algorithm Senior Engineer

7 days ago

Singapore Shopee Full time

Department Engineering and Technology
- LevelExperienced (Individual Contributor)
- LocationSingapore

The Engineering and Technology team is at the core of the Shopee platform development. The team is made up of a group of passionate engineers from all over the world, striving to build the best systems with the most suitable technologies. Our engineers do not merely solve problems at hand; We build foundations for a long-lasting future. We don't limit ourselves on what we can or can't do; we take matters into our own hands even if it means drilling down to the bottom layer of the computing platform. Shopee's hyper-growing business scale has transformed most "innocent" problems into huge technical challenges, and there is no better place to experience it first-hand if you love technologies as much as we do.

**About the Team**:

- The Search Team is responsible for developing and optimising Shopee’s global product search engine and related algorithms across all markets. By building highly efficient systems and cutting-edge algorithms, we continuously drive rapid business growth.

**Why Join Us?**
- Work on high-impact projects serving millions of users globally.
- Collaborate with world-class engineers and researchers.
- Competitive compensation and career growth opportunities.
- Optimise retrieval algorithms for e-commerce search scenarios to enhance user search efficiency and deliver superior search experiences.

**Key responsibilities**:

- Analyze and optimise system architectures to improve algorithm-system integration and boost overall system efficiency.
- Collaborate and share knowledge: Proactively share technical insights and innovations, participate in team discussions, and provide fresh perspectives.

**Requirements**:

- Bachelor’s degree or higher in Machine Learning, Statistics, Pattern Recognition, or related fields, with outstanding academic performance.
- Preferred qualifications:

- 3+ years of hands-on experience in retrieval algorithms for search, advertising, or recommendation systems. Familiarity with mainstream U2I/I2I retrieval methodologies.
- Publication in top-tier conferences/journals (e.g., CCF-A tier) or exceptional performance in relevant competitions.
- Expertise in one or more machine learning domains: NLP, CV, search, recommendation, or advertising. Keen interest in tracking ML advancements.
- Proficiency in big-data distributed computing platforms (Spark/Presto) and ML frameworks (TensorFlow/PyTorch).
- Strong coding skills in Linux environments, with fluency in at least one language: C++/Golang/Python.
- Highly self-motivated, with a passion for tackling challenges and achieving breakthroughs.

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