Senior ML Engineer - Vision & Multimodal Systems Lead

Huawei Ireland Research Center; Dublin; On-site; EUR 120,000 - 160,000; Full time

Job summary

Huawei Ireland Research Centre's Terminal Cloud Technology Lab seeks a Senior/Staff Machine Learning Engineer to advance video understanding and multimodal content signals. You will lead a small team, implement scalable approaches, and contribute to the core recommendation engine with high‑quality, production‑ready solutions.

The role blends hands‑on research with technical leadership, guiding deployments to production and collaborating across teams to improve analytics and user experiences.

Qualifications

• Master’s or PhD in Computer Science, AI, ML, or related field.
• 5–8+ years of AI/ML research or advanced engineering experience.
• Hands-on experience with video understanding and multimodal models (VLMs/MLLMs).
• Proficient with PyTorch, TensorFlow, or JAX.
• Experience deploying large-scale AI models in production.

Responsibilities

• Drive video understanding and multimodal frameworks for content signals.
• Design tagging taxonomies, classification systems, and knowledge graphs.
• Provide technical leadership and unblock team members on challenging problems.
• Stay ahead of state‑of‑the‑art research and prototype production-ready methods.
• Own end‑to‑end development of high‑performance systems (latency, accuracy, scalability).
• Collaborate with cross‑functional teams to integrate signals into production pipelines.

Skills

Video understanding

Multimodal ML

Leadership

Python ML tooling

Production deployment

SOTA-to-Production

Model evaluation

Education

Master's or PhD in Computer Science / AI / ML

Tools

PyTorch

TensorFlow

JAX

Job description

Huawei Ireland Research Centre's Terminal Cloud Technology Lab seeks a Senior/Staff Machine Learning Engineer to advance video understanding and multimodal content signals. You will lead a small team, implement scalable approaches, and contribute to the core recommendation engine with high‑quality, production‑ready solutions.

The role blends hands‑on research with technical leadership, guiding deployments to production and collaborating across teams to improve analytics and user experiences.