Research Engineer

microTECH Global LTD; Amsterdam; On-site; EUR 60,000 - 85,000; Part time

Job summary

A leading technology company in Amsterdam is seeking a highly motivated researcher to join their team focused on AI and machine learning innovation. This role involves designing and optimizing information retrieval models and improving LLM capabilities. The ideal candidate has an advanced degree in a relevant field, strong programming skills in Python, and a solid understanding of deep learning architectures. This position offers an opportunity to work collaboratively in a dynamic environment and contribute to cutting-edge technology development.

Qualifications

• Master’s or Ph.D. with a focus on NLP, ML, or IR.
• Strong programming skills in Python and familiarity with machine learning frameworks.
• Solid understanding of deep learning architectures.

Responsibilities

• Design, implement, and optimize information retrieval models.
• Enhance the user experience for LLM's reasoning capabilities.
• Conduct research on state-of-the-art NLP, ML, and IR methods.

Skills

Python

Machine Learning

Natural Language Processing

Information Retrieval

Problem-Solving

Communication Skills

Education

Master’s or Ph.D. in Computer Science, Electrical Engineering, or related field

Tools

PyTorch

Job description

Overview

Microtech-Global are working with a Research Center who are at the forefront of AI and ML innovation. We are seeking a highly skilled and highly motivated to join this team.

Responsibilities

• Design, implement, and optimize information retrieval models and establish a strong retrieval-augmented generation (RAG) system.
• Enhance the user experience by improving LLM's reasoning capabilities and reducing the hallucinations.
• Conduct research on state-of-the-art methods in natural language processing (NLP), machine learning (ML), and information retrieval (IR).
• Develop algorithms and techniques to improve the performance and scalability of RAG systems.
• Collaborate with cross-functional teams to integrate RAG solutions into existing products and services.
• Perform data collection, pre-processing, and analysis to support research and development activities.
• Evaluate and benchmark the performance of RAG models using large-scale datasets.
• Stay up-to-date with the latest advancements in AI, NLP, ML, and IR.

Qualifications

• Master’s or Ph.D. in Computer Science, Electrical Engineering, or a related field with a focus on NLP, ML, or IR.
• Strong programming skills in Python and familiarity with machine learning frameworks such as PyTorch.
• Solid understanding of deep learning architectures, including transformers, BERT, GPT, etc.
• Proven track record of research excellence, demonstrated through publications in relevant conferences and journals.
• Ability to work independently and as part of a collaborative team.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills, both written and verbal.

Preferred Qualifications

• Knowledge and hands-on experience on automatic speech recognition (ASR) is a big plus.
• Experience with retrieval-based models and techniques, including vector space models, BM25, or neural retrieval methods.
• Familiarity with knowledge bases, information extraction, and question answering systems.
• Background in software development and engineering best practices.

How to apply

If this is something that interests you, please apply below or send your email to [e-mail]

Seniority level

• Associate

Employment type

• Contract

Job function

• Engineering
• Manufacturing
• Accounting/Auditing

Industries

• Semiconductor Manufacturing
• IT Services and IT Consulting
• IT System Testing and Evaluation

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.