Work in a team setting and apply knowledge in statistics, scripting and programming languages required by the firm.
Work with the relevant software platforms in which the models are deployed.
Individuals who are completing or have recently completed a PhD degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline....
Problem Solving for Governance Applications: Address challenges such as long text/sequence modeling, few-shot learning, content moderation, violation detection, and policy recommendation using large models and multimodal approaches.
Model Development and Optimization: Research and optimize e-commerce-specific NLP and multimodal large models to improve multilingual, multi-task, and multi-modal algorithm performance across various e-commerce scenarios.
Individuals who are completing or have recently completed a PhD degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline....
Individuals who are completing or have recently completed a Bachelor's/ Master's degree in computing or a related discipline.
Familiar with basic Linux commands, with solid C/C++ programming skills and knowledge of data structures and algorithms
Familiar with the basic principles of multi-threaded concurrency, proficient in basic usages such as thread usage, synchronization locks, and thread pools, able to identify common concurrency issues, and possess the ability to perform basic performance tuning in multi-threaded scenarios...
Explore the integration of LLMs / VLMs with recommendation systems to develop adaptive and evolving intelligent recommenders.
Research end-to-end generative recommendation and system optimization methods that balance efficiency and user experience.
Individuals who are completing or have recently completed a PhD degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline....
Optimize the web application performance, improve overall user experience.
Individuals who are completing or have recently completed a Bachelor's degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
Programming experience in JavaScript/TypeScript, HTML, CSS, python, web debugging toolchain....
Follow up on cutting-edge technologies such as global large model inference, GPU high-performance computing, distributed parallelism, and cache optimization, benchmark against mainstream inference frameworks such as vLLM and TensorRT-LLM, complete the implementation of solutions and technological innovation, continuously iterate and optimize the performance and cost advantages of the inference system, and build the core technological barriers of the team.
Individuals who are completing or have recently completed a Bachelor's/ Master's degree in computing or a related discipline.
Solid foundation in computer low-level knowledge, proficient in C/C++ and Python programming, skilled in CUDA programming and familiar with GPU hardware architecture principles, and well-versed in GPU memory models, computing scheduling, and communication mechanisms;...
Recognition and rewards for excellence: We grow together with exceptional people — and it’s never too late to join. We’ve enhanced our reward system to recognize high performance, offering more opportunities for outstanding individuals to take on key projects and fully unleash their potential.
Holds a PhD degree, preferably in Artificial Intelligence, Computer Science, Mathematics, or other related fields.
Strong programming skills with a good foundation in software design ability and coding practices....
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:...
