About the project

• We are now launching a major AI research initiative focused on Reasoning Multimodal Large Language Models. We are assembling an elite team to develop foundational AI technologies that reason across text, images, and audio—with the goal of turning Large Model research breakthroughs into real-world applications.
• Our initial focus is on vertical domains critical to TCL’s business, such as display panel and photovoltaic panel manufacturing, where data is inherently multimodal—combining visual and textual information. To unlock deep insights and support complex decision-making in these domains, our models must be capable of sophisticated multimodal reasoning.
• Preference will be given to candidates open to temporary assignments at our global headquarters in Shenzhen, China, to foster close collaboration with business units and established AI teams on-site.

Your responsibilities

• Conduct research in multimodal LLMs (combining vision, speech and text) and advanced reasoning-capable LLMs
• Develop and evaluate methods such as continuous pre-training, fine-tuning, synthetic data generation, multimodal Retrieval-Augmented Generation, Chain-of-Thoughts, agentic workflows and more
• Drive projects from fundamental research to applied research/productization
• Stay current with developments in AI/ML, multimodal learning, and LLM research
• Collaborate with international teams and strategic research partners, including Alibaba Qwen LLM team

Our requirements

• Openness to temporary work at TCL HQ in Shenzhen, China’s Silicon Valley
• BSc, MSc or PhD degree in Computer Science, Mathematics or a related technical field (or equivalent R&D experience)
• Willingness to deep dive in the area of deep learning and multimodal LLM reasoning
• Strong algorithmic and mathematical background
• Proficiency in Python programming
• Excellent written and spoken English, a collaborative mindset, and a strong sense of ownership and responsibility

Optional

• Familiarity with deep learning and large model architectures such as Transformers, CLIP, SAM
• Hands-on experience with deep learning frameworks (preferably PyTorch)
• PhD in a relevant technical field
• Publication track record in major conferences (e.g., NeurIPS, ICLR, ICML, CVPR, ACL)
• Achievements in AI, math, or algorithmic contests

Technologies we use

What we offer

• Work on a high-impact, greenfield project driven by the latest advances in AI

• Opportunities for rapid career and personal growth

• Attractive salary adequate to skills and experience

• An opportunity to experience life and work in Shenzhen, China—one of the world's most dynamic tech hubs and a global leader in LLM research investment

• Work with the latest technologies

• Friendly atmosphere