Senior Multimodal AI Engineer — Content Intelligence & Recs

Huawei Ireland Research Centre

Ireland

On-site

EUR 120,000 - 180,000

Full time

14 days+
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Job summary

Huawei Ireland Research Centre seeks a Senior Machine Learning Engineer to drive next-generation content intelligence systems. You will lead multimodal solutions across video, audio, image and text, building self-evolving content analysis ecosystems to boost recommendation quality and user engagement.

You will contribute technically in developing high-performance models, optimize latency and concurrency, and collaborate with cross-functional teams to integrate signals into production pipelines.

Qualifications

  • Master’s or PhD in Computer Science, AI, ML, or related quantitative field.
  • 5–8+ years of professional experience in AI/ML research or advanced engineering.
  • Proficiency in at least two areas: Multimodal Learning, Computer Vision, or NLP.

Responsibilities

  • Lead multimodal frameworks for semantic understanding, narrative reasoning, and content interpretation.
  • Own end-to-end development of high-performance AI systems driving innovation and resolving bottlenecks.
  • Collaborate with cross-functional teams to integrate content signals into production recommendation and discovery pipelines.
  • Ensure models are low-latency and handle high concurrency in production.

Skills

Multimodal Learning
Computer Vision
NLP
Production Systems
ML Frameworks

Education

Master’s or PhD in Computer Science, AI, ML

Tools

PyTorch
TensorFlow
JAX
Multimodal LLMs

Job description

Huawei Ireland Research Centre seeks a Senior Machine Learning Engineer to drive next-generation content intelligence systems. You will lead multimodal solutions across video, audio, image and text, building self-evolving content analysis ecosystems to boost recommendation quality and user engagement.

You will contribute technically in developing high-performance models, optimize latency and concurrency, and collaborate with cross-functional teams to integrate signals into production pipelines.

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