Senior ML Engineer

Morgan McKinley is delighted to be partnering with a leading telecommunication organisation for the hiring of a Senior Machine Learning Engineer to drive the development of their next-generation content intelligence systems, with a strong focus on generative vision and video.

In this role, you will have the opportunities to explore areas such as image and video generation, controllable content editing, multimodal understanding, 3D-aware generation, and intelligent visual adaptation. You will work on research-driven problems with clear product relevance, turning promising machine learning techniques into practical prototypes and scalable solutions. The position is open to candidates with different levels of industry experience. Level and scope will be calibrated based on technical depth, research capability, and relevant experience.

Please note this a permanent role based onsite in Dublin.

Responsibilities

• Research, implement, and evaluate state-of-the-art methods in generative vision, video generation, and multimodal AI
• Develop and prototype algorithms for image/video generation, editing, enhancement, and visual content adaptation
• Explore methods for improving controllability, temporal consistency, spatial consistency, structure preservation, and visual quality
• Investigate multimodal and structured conditioning approaches for more controllable and context-aware generation
• Design experiments, datasets, benchmarks, and evaluation methodologies to assess model quality and generalization
• Analyze model failure modes and propose improvements to model architecture, training strategy, data, and evaluation
• Adapt and fine-tune existing foundation models where appropriate, while exploring new modelling approaches when neededCollaborate with researchers, engineers, and product teams to translate research prototypes into usable systems
• Stay up to date with advances in generative AI, computer vision, computer graphics, and multimodal learning, and identify relevant technologies for practical applications

Basic Qualifications

• Education: Master's or PhD in Computer Science, AI, Machine Learning, Computer Vision, Computer Graphics, or a related field, or equivalent practical experience
• Hands-on experience in at least one relevant area, such as:
• image or video generation or generative modelling
• 3D vision or visual computing
• Strong programming skills in Python
• Frameworks: Expert proficiency in PyTorch, TensorFlow, or JAX.
• SOTA-to-Production: Demonstrated ability to identify, evaluate, and rapidly adapt state-of-the-art techniques (from research papers, open-source releases, or industry advances) into working solutions that address real business needs.
• Demonstrated interest in generative AI and visual content technologies

Preferred Qualifications

• Experience in one or more of the following areas:
• 1) Video generation, image-to-video, video-to-video, video inpainting or outpainting
• 2) Diffusion models, Diffusion Transformers (DiT), flow matching, or related generative architectures.
• 3) Temporal consistency, optical flow, correspondence, or video representation learning
• 4) Depth estimation, 3D vision, neural rendering, or 3D-aware generation
• 5) Layout understanding, visual composition, or structured visual generation
• Publications & Research Recognition: Contributions to high-impact projects or publications in top-tier conferences such as CVPR, ICCV, ECCV, SIGGRAPH, NeurIPS, or ICLR.
• Community Engagement: Experience presenting or mentoring within research communities, such as workshop talks, internal tech shares, or open source maintainership.
• Professional working proficiency in Mandarin Chinese, with the ability to participate in technical discussions and collaborate effectively with Mandarin-speaking teams is preferred