Machine Learning Engineer - AI Search (ByteDance Singapore)
Confirmed on the employer's own hiring board on Oct 10, 2026. First seen by Alion on Feb 27, 2026. ByteDance scores A on the Alion truth index.
岗位职责 / Responsibilities
About the team
Our Search Team focuses on LLM application algorithms, with core scenarios including AI Search and AI Bot. We build search question-answer cards via LLM-powered generation and develop official AI assistant, leveraging LLM ChatBot, Agent, and RAG technologies to deliver accurate, real-time responses. By closely integrating technical innovation with business scenarios, we bridge users with information and services, driving our business growth.
Responsibilities:
- Build AI Search Agents with planning, memory, and tool-use capabilities. Apply reinforcement learning, knowledge representation, and automated decision-making to solve complex problems end-to-end.
- Enhance LLM-based query understanding: process multi-turn conversations, conduct semantic analysis on queries and documents, and ensure accurate, objective search results via LLM reasoning.
- Optimize RAG and LLM pipelines: improve retrieval and ranking algorithms, train and optimize LLMs for answer generation (e.g., fine-tuning, inference optimization), and enhance the relevance and structured presentation of search results.
- Translate research (e.g., Agent/LLM innovations) into production, collaborating with cross-functional teams to drive product upgrades.
任职要求 / Requirements
Minimum Qualifications
- 5 years of experience in Machine Learning, preferably in a fast-paced, high-growth environment.
- Proficient in C++/Python; strong command of algorithms and data structures (e.g., retrieval, graph algorithms).
- Basic understanding of LLM fundamentals (e.g., prompt engineering, fine-tuning workflows).
- Strong problem-solving skills with a track record of delivering technical projects.
Preferred Qualifications
- Hands-on experience with LLM/Agent technologies: RAG optimization, RLHF/SFT for LLMs, or Agent framework development (e.g., planning/memory modules).
- Excellent communication and collaboration skills, with a track record of exploring new technologies and driving technical advancements with teams.