Architecture for data at the scale of hundreds of billions: Conducting in-depth research and innovation in all aspects, from large-scale offline computing and performance and scheduling optimization of distributed systems to building high-availability, high-throughput, and low-latency online services.
Recommendation Technologies: Leveraging ultra-large-scale machine learning to build industry-leading search recommendation systems and continuously explore and innovate in search recommendation technologies.
Exploring the integration of large models with ranking algorithms to improve the accuracy of personalized ranking and user experience....
Translate requirements into test plan, write and execute test scripts or codes in line with standards and procedures to determine vulnerability to attacks.
Certify infrastructure components, systems and applications that meet security standards.
Write detailed reports covering the goals and outcomes of Red Team operations, including significant observations and recommendations....
Possess excellent programming skills, data structure, and algorithm skills, proficient in C/C++ or Python programming languages. Priority will be given to those who have won awards in competitions such as ACM/ICPC, NOI/IOI, Top Coder, and Kaggle.
Have research experience in the field of machine learning, particularly in large-scale language models (LLMs) and generative artificial intelligence.
Be passionate about technology, have outstanding problem analysis and solving abilities, be enthusiastic about solving challenging problems, and possess good communication skills and team spirit.
Improving Reasoning Efficiency: While maintaining high reasoning quality, improving reasoning efficiency is another critical challenge. Efficient reasoning directly impacts the model's practicality and cost-effectiveness in real-world applications. Approaches such as knowledge distillation (transferring knowledge from complex models to smaller models) can be explored to reduce computational resource consumption, or the use of Long Chain-of-Thought (Long-CoT) techniques to improve Short-CoT models to balance reasoning accuracy with computational efficiency.
Got PhD degree in Computer Science, Electronics, or other related fields.
Extensive experience in ML/CV/NLP/Recommendation Systems, including but not limited to:...
Learn how to manage data center inventory and assets.
Learn industry-recognized processes like change management and disaster recovery plans to manage data center availability risk(s).
Individuals who are completing or have recently completed a Bachelor's/ Master's/ PhD degree in Engineering or Facility Management or a related discipline....
Implement on-going tracking and monitoring of the performance of decision systems and models and produce clear, understandable visualizations, dashboards and reports with support from the risk analytics team.
Keep current on card scheme rules and regulations, and optimize accordingly
Support the risk team with various initiatives and ad hoc projects as required...
Manage day-to-day space operations and drive improvements to workflows, systems and planning processes.
Conduct data analysis, market research and benchmarking, and translate insights into recommendations and decision-making materials.
Individuals who are completing or have recently completed a Bachelor's degree in Real Estate, Business Administration, Economics, or any other discipline....
Manage day-to-day space operations and drive improvements to workflows, systems and planning processes.
Conduct data analysis, market research and benchmarking, and translate insights into recommendations and decision-making materials.
Individuals who are completing or have recently completed a Bachelor's degree in Real Estate, Business Administration, Economics, or any other discipline....