AI/ML Engineer - (Multimodal Large Language Models) - Remote in Europe

AI/ML Engineer - Contract

A fantastic opportunity for a skilled Machine Learning Engineer to join a Global Electronics Company, working on the development of our next-generation content intelligence systems.

***This position has the option to work Fully Remotely within Europe. ***

About The Role

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: 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: Strong hands-on experience in at least two of the following:

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.

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