Ireland

2026 - Senior AI/ML Engineer– Multimodal Content Intelligenc …, Dublin Pike

2026 - Senior AI/ML Engineer– Multimodal Content Intelligenc …, Dublin Pike
Description
Location Dublin, Ireland

Job Description Senior Machine Learning Engineer– Terminal Cloud Technology Lab

The Terminal Cloud Technology Lab is 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.

Responsibilities

Develop and 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.

Collaborate closely with cross‑functional teams to integrate content signals into production recommendation and discovery pipelines.

Ensure models are accurate yet optimized for low‑latency inference and high‑concurrency production environments.

Basic Qualifications

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 in at least two of the following areas: multimodal learning, computer vision, NLP, or ML frameworks (PyTorch, TensorFlow, or JAX). Experience with Multimodal Large Language Models (MLLM/VLM) is essential.

Production skills: Proven track record of deploying large‑scale AI models in production.

Preferred Qualifications

Contributions to high‑impact projects or publications at top‑tier conferences (CVPR, ICCV, NeurIPS).

Experience building automated content tagging or recommendation signals from the ground up.

Domain knowledge in digital signal processing for audio or aesthetic evaluation for images/video.

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