Head of Applied AI & Multimodal Innovation

G42

Abu Dhabi

Vor Ort

AED 480.000 - 750.000

Vollzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Benefits dieser Stelle

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Education support
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Zusammenfassung

Inception, a G42 company, seeks a Lead Applied Scientist to steer advanced AI research and guide teams in building transformative deep-learning and generative AI solutions. You will architect next-generation AI systems, drive innovation pipelines, and mentor a team of scientists and engineers to deliver high-impact breakthroughs aligned with Inception’s mission.

You’ll define the applied AI roadmap, lead model design across vision, language, audio, and sensor data, and collaborate with product

Qualifikationen

  • Ph.D. or MSc in Computer Science, Engineering, or AI-related discipline.
  • 10–12 years of AI research and product development experience.
  • 3+ years leading R&D teams or major AI projects.
  • Track record of large-scale AI model design and deployment.

Aufgaben

  • Define applied AI research roadmap and innovation strategy.
  • Lead development of generative and deep-learning models across modalities.
  • Mentor scientists and engineers to reach R&D milestones.
  • Partner with product and engineering to deploy research into products.
  • Represent Inception in external forums and partnerships.
  • Measure impact via deployment efficiency, IP generation, and customer outcomes.

Kenntnisse

Research leadership
AI model design
Multimodal AI
Team mentorship
Strategic planning

Ausbildung

Ph.D. or MSc in CS/AI

Jobbeschreibung

Inception, a G42 company, seeks a Lead Applied Scientist to steer advanced AI research and guide teams in building transformative deep-learning and generative AI solutions. You will architect next-generation AI systems, drive innovation pipelines, and mentor a team of scientists and engineers to deliver high-impact breakthroughs aligned with Inception’s mission.

You’ll define the applied AI roadmap, lead model design across vision, language, audio, and sensor data, and collaborate with product

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