Llm Algorithm Engineer

6 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. - Perform multimodal content understanding (text, image, video, reviews) for e-commerce products. Continuously optimize content moderation solutions for Product/Chat/ChatBot scenarios to enhance moderation quality and efficiency, building an industry-leading intelligent content moderation system. - Deeply understand e-commerce business logic. Proactively collaborate with product, operations, and other teams to implement actionable solutions and track their business impact. - Lead/participate in the end-to-end iteration of algorithm models, including but not limited to data construction, model training, instruction fine-tuning, preference alignment, etc., to support e-commerce product/Chat/ChatBot content moderation and content understanding. **Requirements**: - Bachelor’s degree or higher in Computer Science or related fields. Experience in e-commerce AI algorithms is preferred. - Strong business acumen, self-motivation, and problem-solving skills. Ability to design technical solutions based on business value and independently develop core modules. - Excellent programming skills. Solid foundation in machine learning theory. Proficient in multimodal large model technologies, PyTorch/TensorFlow, and large-scale data processing tools (Hive, Spark). - Familiarity with mainstream LLMs/VLLMs. Interest in RAG, RL, etc. Knowledge of large model training, quantization, and inference frameworks. Relevant experience is a plus. - Experience in e-commerce algorithm projects is preferred. Practical experience in product understanding/content moderation is highly valued. - Strong teamwork, communication skills, and continuous learning ability. Passionate about technology and proactive in solving challenges.

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