Research Team Leader LLM

OPTIVEUM sp. z o.o.; Dubai; Hybrid; AED 200,000 - 300,000; Full time

Job summary

A recruitment firm seeks a Research Team Leader for a major AI research initiative, focusing on multimodal Language Models. The candidate will lead a skilled team and collaborate across international units, with an initial assignment in Shenzhen, China. Competitive compensation and accelerated professional growth opportunities are offered.

Benefits

Attractive compensation based on experience

Accelerated professional development opportunities

Exposure to cutting-edge technology

Potential for temporary assignments in Shenzhen

Qualifications

• 5+ years in AI/ML research with leadership experience.
• Strong expertise in deep learning technologies.
• Excellent command of English.

Responsibilities

• Lead the research strategy for multimodal LLMs.
• Manage team of researchers and applied scientists.
• Collaborate with international research groups.

Skills

Deep Learning

Leadership

Collaboration

Education

MSc or PhD in Computer Science, Mathematics, or related field

Tools

PyTorch

Job description

Optiveum is a recruitment and consulting company created based on our 20-plus years of experience in HR &IT services.

We work for Clients located in Poland and abroad providing our local and internationalCandidates with Project-based or Permanent job opportunities in a remote or office-based model.

DANE FIRMY / COMPANY DATA

nr KRS : 0000834436, NIP 7010975729

Contact us at : info (at) optiveum.com

Research Team Leader – Reasoning Multimodal LLMs

Location : Remote but first 12 months willing torelocate 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.