Overview
Research Team Leader – Reasoning Multimodal LLMs
Location: Remote but first 12 months willing to relocate temporarily to Shenzhen, China
The 12+ months in Shenzhen assignment is fully covered by the client: flights, accommodation, etc.
After this time, the candidate can work remotely from any European country.
Our client is
a global consumer electronics leader with 120,000 employees across 78 countries and ranks as the #2 TV brand worldwide. Their portfolio includes display technologies, mobile and wearable devices, smart appliances, and renewable energy solutions.
They are launching a major AI initiative to develop advanced Reasoning Multimodal Large Language Models (LLMs)—capable of processing and reasoning across text, images, and audio for real-world industrial applications.
They are now seeking a Research Team Leaders to shape the research agenda, lead a high-caliber team, and collaborate closely with business units, particularly in display and photovoltaic manufacturing where multimodal data is key.
Key Responsibilities
* Lead the research strategy for reasoning-capable multimodal LLMs (text, vision, speech).
* Manage a team of researchers and applied scientists; provide mentorship and technical guidance.
* Oversee model pre-training, fine-tuning, synthetic data generation, RAG (Retrieval-Augmented Generation), Chain-of-Thought reasoning, and agentic workflow development.
* Bridge fundamental research and real-world product applications.
* Collaborate with international research groups, including strategic partners such as the Alibaba Qwen LLM team.
* Stay at the forefront of advances in deep learning, LLMs, and multimodal AI.
What We Offer
* Leadership role in a high-impact, greenfield AI research project.
* Attractive compensation based on experience and qualifications.
* Opportunity for accelerated professional development.
* Exposure to cutting-edge technology and collaboration with globally recognized AI teams.
* Potential for temporary assignments in Shenzhen, China, one of the world’s leading tech innovation hubs.
Candidate Profile
Must-have:
* At least 5 years of experience in AI/ML research, including leadership responsibilities.
* Strong expertise in deep learning and architectures such as Transformers, CLIP, or SAM.
* Hands-on experience with modern deep learning frameworks, preferably PyTorch.
* MSc or PhD in Computer Science, Mathematics, or a related technical field.
* Excellent command of English and a strong sense of ownership and collaboration.
Nice-to-have:
* Willingness to work on-site in Shenzhen for strategic collaboration phases.
* Track record of mentoring or growing research teams.
* Publications in top-tier conferences (e.g., NeurIPS, ICLR, ICML, CVPR, ACL).
* Success in technical competitions in AI, mathematics, or algorithm design.
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