Research Engineer - Information Retrieval & Generative Model - MicroTECH Global Ltd : Job Details

About the Company Huawei's Amsterdam Research Center is at the forefront of AI and machine learning innovation.

Our mission is to develop cutting-edge technologies that transform how people interact with information - enhancing productivity and redefining possibilities across multiple industries.

We bring together top talent from across the globe to explore the limits of artificial intelligence and deliver real-world impact.

Role Overview

• We are looking for a highly skilled and motivated Research Engineer to join our AI research team, with a focus on information retrieval and generative AI models.
• This role is central to designing and building intelligent systems that improve retrieval-augmented generation (RAG) and multimodal AI experiences. 
• You will work collaboratively with researchers, engineers, and scientists to develop scalable, high-performing solutions using large-scale datasets and advanced ML techniques.
• A special focus will be on multimodal input scenarios, where the system needs to understand and process more than just text.

Key Responsibilities

• Design, implement, and optimize information retrieval models to support RAG systems.
• Enhance LLM reasoning performance and reduce hallucinations to improve the end-user experience.
• Conduct research in state-of-the-art NLP, machine learning, and information retrieval methodologies.
• Develop scalable algorithms for real-time and batch data processing.
• Collaborate with cross-functional teams to integrate RAG capabilities into real-world applications.
• Collect, clean, and analyze large datasets to support ongoing development.
• Benchmark model performance using both internal metrics and public datasets.
• Stay current with the latest advancements in AI, ML, NLP, and IR.

Required Qualifications

• Master's or Ph.D. in Computer Science, Electrical Engineering, or related field (with a focus on NLP, ML, or IR).Strong programming skills in Python and experience with PyTorch or similar ML frameworks.
• In-depth knowledge of deep learning architectures (e.g., Transformers, BERT, GPT).
• Demonstrated research experience, including publications in top-tier conferences/journals.
• Excellent analytical and problem-solving abilities.Strong verbal and written communication skills.
• Ability to work independently and collaboratively in a fast-paced environment.

Preferred Qualifications

• Hands-on experience with Automatic Speech Recognition (ASR).Expertise in retrieval-based models (e.g., vector space models, BM25, neural retrieval methods).
• Familiarity with knowledge bases, information extraction, and QA systems.