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A recruitment and consulting company seeks a Research Team Leader for multimodal LLMs. You will lead the research strategy, manage a team of researchers, and collaborate with global partners. Candidates should have over 5 years of experience in AI/ML research and strong deep learning expertise. The role offers attractive compensation and opportunities for professional development, including a potential temporary assignment in Shenzhen, China.
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.
Optiveum sp. z o.o. to firma rekrutacyjno‑konsultingowa prowadzona na bazie naszego ponad 20‑letniego doświadczenia na rynku usług HR i IT.
Pracujemy z klientami w Polsce i za granicą oferując międzynarodowym kandydatom pracę stałą lub projektową u Klientów w biurze lub w modelu zdalnym.
Optiveum Sp. z o.o.
ul. Tomasza Zana 43 lok. 2.1 20-601 Lublin
nr KRS : 0000834436, NIP 7010975729
Contact us at : info (at) optiveum.com
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 Leader 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.