Senior AI/ML Engineer - Multimodal Content Intelligence
Location: Dublin 2
Contract: 12 months initially with view to extension
Work model: Onsite/Flexible
Salary: Competitive + onsite perks
Role Overview
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 Frameworks: Lead the implementation of multimodal frameworks focused on semantic understanding, narrative reasoning, and high‑level content interpretation.
Technical Execution: Own the end‑to‑end development of high‑performance systems that drive algorithmic innovation and resolve high‑impact technical bottlenecks.
Collaboration & Integration: Work closely with cross‑functional teams to integrate content signals into production recommendation and discovery pipelines.
Scalability & Performance: Ensure models are not only accurate but also optimized for low‑latency inference and high‑concurrency production environments.
Requirements
Education: Ideally Master's or PhD in Computer Science, AI, Machine Learning, or a related quantitative field.
Experience: Relevant professional experience in AI/ML research or advanced engineering (industry experience preferred).
Technical Depth:
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: 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.
If the role is of your interest, please apply attaching your most updated CV.
Adecco is an equal opportunity employer.
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