Conduct novel research on distributed training and inference system optimization for large-scale recommendation models and Large Language Models
Design and implement high-performance GPU kernel architectures and communication primitives to accelerate deep learning workloads
Publish original research findings at top-tier academic conferences and collaborate with cross-functional teams to translate research into production impact...
Support the operations of Pangle’s international business, collaborating cross-functionally with product, tech, and sales teams to drive key project execution;
Troubleshoot and resolve user-reported issues in a timely manner, identify opportunities for product improvements, regularly monitor business metrics, and uncover insights through data analysis;
Assist in driving vertical-oriented growth initiatives and demonstrate strong ownership in pushing cross-functional teams (xFN) toward effective execution;...
Search LLM Foundation R&D: Build and optimize the search-domain LLM foundation, integrating search knowledge to rapidly deliver business value; develop and refine the post-training pipeline for search LLMs (ultra-long-text / colloquial-text pre-training, image-text / video multimodal representation, e-commerce product multimodal representation learning, etc.); participate in LLM inference optimization (long-context optimization, model efficiency optimization).
Agent Engineering & Multi-Agent Orchestration (Harness / Loop): Contribute to building the search Agent execution framework (Harness) — unified orchestration of tool calling, planning, memory, and environment interaction; multi-agent cluster scheduling and collaboration algorithms (task allocation, dynamic scheduling, inter-agent communication / alignment / conflict resolution); build the Agent Loop and the "training–inference–evaluation" closed-loop engineering.
Long-term Memory, Self-Improvement & Data Closed Loop (Self-Evolve / RSI): Work on long-term memory mechanisms for LLMs, cross-context knowledge integration, and related directions; engage in cutting-edge exploration of self-evolve / self-improvement and recursive self-improvement (RSI) (automated hyperparameter tuning, training pipeline automation, AI-assisted algorithm design, model iteration closed loop); data synthesis and quality control (high-quality vertical-domain data synthesis, distribution alignment, synthetic data quality evaluation / filtering / refinement)....
Participate in building large-scale (billion level) E-commerce recommendation algorithms and systems, including commodity recommendations, live stream recommendations, short video recommendations etc.
Build long and short term user interest models, analyze and extract relevant information from large amounts of various data and design algorithms to explore users' latent interests efficiently.
Design, develop, evaluate and iterate on predictive models for candidate generation and ranking(eg. Click Through Rate and Conversion Rate prediction) , including, but not limited to building real-time data pipelines, feature engineering, model optimization and innovation....
Algorithm Development & Optimization: Design and implement matching algorithms and probabilistic models for task allocation and confidence scoring, focusing on multi-objective optimization that balances quality, cost, and efficiency constraints.
Feature Engineering & Data Pipeline Development: Extract meaningful signals from labeler performance data, task characteristics, and system logs to build robust features that power allocation decisions and confidence assessments.
Experimentation & Model Validation: Design and execute A/B tests, simulations, and validation experiments to measure algorithm performance, iterate on model improvements, and ensure real-world effectiveness...
Responsible for development of data-empowered capabilities for e-commerce platform, enable different e-commerce verticals to extract and apply key insights from oceans of data to meet their business needs;
Develop data mining pipelines to extract data assets (eg. entity labels) from aggregated data and enable the extraction of actionable insights from large volumes of domain data;
Design and development of various strategies, algorithms and machine learning techniques to improve the accuracy and coverage of extracted data assets;...
Asset Management: Assist in cleaning, formatting, and updating core linguistic assets, including Translation Memories (TMs), Glossaries, and Style Guides.
Query Management: Help triage, track, and route linguistic queries from external translation vendors and internal stakeholders to the appropriate Language Managers.
Quality Assurance (QA) Support: Assist in preparing Language Quality Assurance (LQA) tasks, compiling LQA scorecards, and formatting feedback reports for our vendors....
Conduct root cause analysis (RCA) on auto-moderation decisions and follow through on machine model optimization actions with relevant stakeholder teams
Attend to escalations from Operational teams, identifying root model issues and following through on issue resolutions and model optimization
Track and report key business quality metrics, analyze data to identify issues, and propose solutions...
