Lenovo is a US$57 billion revenue global technology powerhouse, ranked #248 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).
This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub. Description and Requirements
Job Responsibilities:
1. Focus on image/video generation algorithm, research relevant technologies to align with the project request.
2. Research in multi-modality input methods to deliver controllable image/video generation algorithm.
3. Deliver innovation and landing to Lenovo product, or public papers in top conference.
4. Cross functions communication to work with product team, UI/UX team, validation team, legal team and deliver outcomes.
5. Complete other tasks when project team needs.
Job Requirements:
1. Master's or doctoral degree in Computer/Information Science, Electronic Engineering or related fields
2. Over 2 years of experience in AI algorithm research and development
3. Solid foundation in coding, familiar with deep learning frameworks such as PyTorch and TensorFlow.
4. Familiar with models like Transformer, BERT, and GLM, and have a strong and in-depth understanding of large model data processing and training techniques such as LoRA, SFT, and RLHF.
5. Familiarity with distributed training frameworks (such as DeepSpeed) is preferred.
6. Have some experience in model distillation, model quantization, and training and inference acceleration.
7. Possess strong teamwork and communication skills, able to closely collaborate with team members and business departments to complete project delivery and technological innovation.
Additional Locations: * China - Tianjin - 天津（Tianjin） * China * China - Tianjin * China - Tianjin - 天津（Tianjin）