jobs in Shopee

Kerja Algorithm Engineer Intern (Fall 2026) di Shopee - Maukerja

Algorithm Engineer Intern (Fall 2026)

Shopee

Undisclosed

Latihan Industri

Singapore

Kongsi
Simpan

Lokasi Kerja

  • Singapore

Penerangan Kerja

Tanggungjawab

Department Engineering and Technology
LevelInternship
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.

Job Description:
  • Design, develop, and optimize machine learning and algorithmic solutions to address business challenges and improve user experience.
  • Build and enhance recommendation, ranking, prediction, classification, or risk detection models across various business scenarios.
  • Analyze large-scale datasets to identify patterns, generate insights, and improve algorithm performance.
  • Develop and optimize data processing pipelines, feature engineering workflows, and model serving systems.
  • Translate business requirements into scalable algorithmic and data-driven solutions.
  • Evaluate, monitor, and improve model performance, accuracy, efficiency, and scalability.
  • Collaborate with product, engineering, and cross-functional teams to deliver impactful solutions.
  • Research and apply state-of-the-art techniques in machine learning, deep learning, large language models (LLMs), recommendation systems, information retrieval, anomaly detection, and related fields.
  • Stay up to date with industry trends and emerging technologies, and contribute innovative ideas to business applications.
Requirements:
  • Bachelor's degree or above in Computer Science, Artificial Intelligence, Data Science, Mathematics, Statistics, Engineering, or a related field.
  • Strong programming skills in at least one language such as Python, C++, Java, or Go.
  • Solid understanding of data structures, algorithms, probability, statistics, and machine learning fundamentals.
  • Familiarity with data analysis and data processing techniques.
  • Experience with or knowledge of machine learning and deep learning frameworks such as PyTorch, TensorFlow, or similar tools is preferred.
  • Strong analytical thinking and problem-solving skills with a data-driven mindset.
  • Good communication and collaboration skills, with the ability to work effectively in a team environment.
  • Passion for applying algorithms and data science techniques to solve real-world problems.
  • Self-motivated, detail-oriented, and eager to learn new technologies.
Good to have:
  • Experience with recommendation systems, search and ranking systems, risk control, anomaly detection, natural language processing (NLP), large language models (LLMs), or information retrieval.
  • Familiarity with big data technologies such as Spark, Hadoop, SQL, or related data processing frameworks.
  • Knowledge of distributed systems, model deployment, and large-scale machine learning systems.

Peringatan Penting

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