2026 - Senior/Staff Machine Learning Engineer - Multimodal Content Intelligence - Permanent

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

Location: Dublin, Ireland

About Huawei

Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. We are committed to bringing digital to every person, home and organization for a fully connected, intelligent world.

About the IRC

Huawei Ireland Research Centre's (IRC) mission is to position Huawei as a recognised technology leader and global ICT solutions provider. The IRC builds an industry‑recognised, multi‑disciplinary research centre focused on medium‑ to long‑term issues, engages with an open, innovative ecosystem and collaborates with key European universities to support Huawei technical projects.

About the Job

The Terminal Cloud Technology Lab is looking for a Senior/Staff Machine Learning Engineer to drive the development of next‑generation content intelligence systems, with a strong focus on video understanding and Vision‑Language Models (VLMs). In this role you will be a hands‑on technical expert and a technical leader, advancing state‑of‑the‑art multimodal content understanding while guiding a small group of engineers through complex technical problems. Your work will enhance the core recommendation engine, directly impacting product performance and user engagement via advanced content signals.

Responsibilities

• Drive Video & Multimodal Understanding: lead the development of video understanding and implementation of multimodal frameworks for semantic understanding, narrative reasoning, and high‑level content interpretation.
• Build Structured Content Intelligence: design and own tagging taxonomies, classification systems, and knowledge graph structures that turn raw multimodal content into structured, actionable signals.
• Provide Technical Leadership: serve as the technical point of contact for a small group within the team, unblocking colleagues on complex technical challenges and ensuring high‑quality execution on shared initiatives.
• Adopt New Technology: stay ahead of state‑of‑the‑art research in multimodal learning and VLMs, independently evaluating, prototyping, and bringing promising techniques from research to production.
• Own Technical Execution: drive end‑to‑end development of high‑performance systems, resolving high‑impact bottlenecks in accuracy, latency, and scalability.
• Collaboration & Integration: work closely with cross‑functional teams to integrate content signals into production recommendation and discovery pipelines.

Basic Qualifications

• Education: Master’s or PhD in Computer Science, AI, Machine Learning, or a related field.
• Experience: 5–8+ years of professional experience in AI/ML research or advanced engineering (industry experience preferred).
• Video Understanding / VLM Expertise: deep, hands‑on experience with video understanding, temporal modeling, and Multimodal Large Language Models (MLLMs/VLMs), including fine‑tuning, post‑training or adapting these models for production use cases.
• Frameworks: expert proficiency in PyTorch, TensorFlow, or JAX.
• Production Skills: proven track record of deploying large‑scale AI models in production environments.
• SOTA‑to‑Production: demonstrated ability to identify, evaluate, and rapidly adapt state‑of‑the‑art techniques into working solutions that address real business needs.

Preferred Qualifications

• Publications & Research Recognition: contributions to high‑impact projects or publications in top‑tier conferences (e.g., CVPR, ICCV, NeurIPS).
• NLP & Content Assessment: experience with content quality assessment, news stream analysis, or semantic modeling.
• Narrative & Aesthetics Analysis: familiarity with high‑level semantic modeling (e.g., emotion recognition, contextual reasoning), temporal action localization/scene segmentation, and computational aesthetics or visual quality assessment.
• Technical Leadership: experience leading engineers through complex technical challenges, such as as a technical lead on a project or workstream.
• Community Engagement: experience presenting or mentoring within research communities, such as workshop talks, internal tech shares, or open‑source maintainership.