Research Team Leader LLM

OPTIVEUM sp. z o.o.; Berlin; Vor Ort; EUR 80.000 - 120.000; Vollzeit

Zusammenfassung

A global leader in consumer electronics seeks a 'Research Team Leader' for an innovative AI initiative centered around multimodal large language models. The role involves shaping research strategies, leading a talented team, and collaborating with international partners to push the boundaries of AI technologies. Candidates should have extensive expertise in AI research, particularly in deep learning and LLMs, and be willing to relocate temporarily to Shenzhen. A strong compensation package and the opportunity for accelerated professional development await the right leader.

Leistungen

Attractive compensation based on experience

Accelerated professional development

Collaboration with renowned AI teams

Temporary assignments in Shenzhen

Qualifikationen

• 5+ years experience in AI/ML research with leadership.
• Expertise in deep learning architectures like Transformers.
• Hands-on experience with AI frameworks like PyTorch.

Aufgaben

• Lead research on reasoning-capable multimodal LLMs.
• Manage and mentor a team of researchers.
• Collaborate with global strategic partners.

Kenntnisse

Deep learning

AI/ML research

Team leadership

Collaboration

Ausbildung

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

Tools

PyTorch

Jobbeschreibung

Social network you want to login/join with:

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 international Candidates with Project-based or Permanent job opportunities in a remote or office-based model.

DANE FIRMY/ COMPANY DATA

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.