2026 - Senior AI/ML Engineer – Multimodal Content Intelligence - Contractor

Huawei Ireland Research Center; Dublin; On-site; EUR 70,000 - 100,000; Full time

Job summary

Huawei Ireland Research Center is seeking a Senior Machine Learning Engineer in Dublin. This role drives the development of next-generation content intelligence systems, requiring expertise in multimodal learning, computer vision, and natural language processing. The ideal candidate has 5–8+ years of experience, a Master’s or PhD, and proficiency in frameworks like PyTorch and TensorFlow. You'll work on high-performance systems that enhance recommendation engines, directly impacting user engagement. Join a cutting-edge team focused on advancing AI technology.

Qualifications

• 5–8+ years of professional experience in AI/ML research or advanced engineering.
• Practical experience working with or fine-tuning Multimodal Large Language Models.
• Proven track record of deploying large-scale AI models in production environments.

Responsibilities

• Develop & optimize multimodal frameworks focused on semantic understanding and narrative reasoning.
• Own end-to-end development of high-performance systems driving algorithmic innovation.
• Work closely with cross-functional teams to integrate content signals into pipelines.

Skills

Multimodal learning

Computer vision

Natural Language Processing (NLP)

Expert proficiency in PyTorch

Expert proficiency in TensorFlow

Education

Master’s or PhD in Computer Science, AI, Machine Learning, or related field

Tools

PyTorch

TensorFlow

JAX

Job description

Location: Dublin, Ireland

About The Role

We are looking for a Senior Machine Learning Engineer to drive the development of our next‑generation content intelligence systems. In this role, you will be a key technical contributor in developing complex multimodal understanding solutions across video, audio, image, and text. Leveraging cutting‑edge Multimodal Large Language Models (MLLMs), you will build and optimize a self‑evolving content analysis ecosystem. Your work will be instrumental in enhancing our core recommendation engine, directly impacting product performance and user engagement through advanced content signals.

Key Responsibilities

• Develop & optimize multimodal frameworks focused on semantic understanding, narrative reasoning, and high‑level content interpretation.
• Own end‑to‑end development of high‑performance systems that drive algorithmic innovation and resolve high‑impact technical bottlenecks.
• Work closely with cross‑functional teams to integrate content signals into production recommendation and discovery pipelines.
• Ensure models are accurate and optimized for low‑latency inference and high‑concurrency production environments.

Requirements

• Education: Master’s or PhD in Computer Science, AI, Machine Learning, or a related quantitative field.
• Experience: 5–8+ years of professional experience in AI/ML research or advanced engineering (industry experience preferred).
• Technical Depth: Strong hands‑on experience in at least two of the following:
• Multimodal learning – integration of video, text, image, and audio signals.
• Computer vision – video understanding, temporal modeling, or representation learning.
• NLP – semantic modeling, content quality assessment, or news stream analysis.
• Frameworks: Expert proficiency in PyTorch, TensorFlow, or JAX.
• MLLM/VLM Expertise: Practical experience working with or fine‑tuning Multimodal Large Language Models.
• Production Skills: Proven track record of deploying large‑scale AI models in production environments.

Preferred Qualifications

• Track record of contributions to high‑impact projects or publications in top‑tier conferences (e.g., CVPR, ICCV, NeurIPS).
• System Design: Experience building automated content tagging or recommendation signals from the ground up.
• Domain Knowledge: Familiarity with digital signal processing for audio or aesthetic evaluation for images/video.