Information Retrieval Algorithm Engineer

European Tech Recruit; Amsterdam; Sur place; USD 69 824 - 116 374; Plein temps

Résumé du poste

Join a forward-thinking company as an Information Retrieval Algorithm Engineer, where you'll work on groundbreaking AI and machine learning projects. This exciting role involves designing advanced information retrieval models and optimizing generative systems to enhance user experiences. Collaborate with a talented team to push the boundaries of technology while conducting state-of-the-art research in NLP and machine learning. If you're passionate about transforming the way users interact with AI and want to make a significant impact, this is the perfect opportunity for you!

Qualifications

• Master’s or Ph.D. in relevant fields with expertise in NLP, ML, or IR.
• Proficiency in Python and experience with ML frameworks like PyTorch.

Responsabilités

• Design and develop advanced information retrieval models and RAG systems.
• Enhance reasoning capabilities of large language models and minimize inaccuracies.

Connaissances

Python

Machine Learning (ML)

Natural Language Processing (NLP)

Analytical Skills

Problem-Solving Skills

Formation

Master’s in Computer Science

Ph.D. in Computer Science

Master’s in Electrical Engineering

Outils

PyTorch

Transformers

BERT

GPT

Description du poste

Information Retrieval Algorithm Engineer

Onsite - Contract - Full-time

Are you passionate about cutting-edge AI and machine learning? We are looking for a talented Information Retrieval Algorithm Engineer to join our team and revolutionize the way users interact with generative models. This is an exciting opportunity to work at the forefront of technology, building and optimizing models that improve information retrieval and enhance user experiences in multimodal scenarios.

What You'll Do:

• Design and develop advanced information retrieval models, creating robust Retrieval-Augmented Generation (RAG) systems.
• Enhance reasoning capabilities of large language models (LLMs) and minimize inaccuracies or hallucinations.
• Conduct state-of-the-art research in NLP, machine learning, and information retrieval.
• Develop scalable algorithms to improve performance and efficiency.
• Collaborate with cross-functional teams to integrate cutting-edge RAG solutions into real-world products.
• Work with large-scale datasets for data collection, pre-processing, and performance benchmarking.
• Stay ahead of the curve by keeping up-to-date with the latest advancements in AI and related fields.

What You'll Bring:

• Master’s or Ph.D. in Computer Science, Electrical Engineering, or related fields with expertise in NLP, ML, or IR.
• Proficiency in Python and experience with ML frameworks like PyTorch.
• Solid understanding of advanced deep learning architectures, including transformers, BERT, GPT, and similar technologies.
• A track record of research excellence, demonstrated by publications in top conferences or journals.
• Strong analytical and problem-solving skills, with attention to detail.
• Ability to thrive in both independent and team-oriented environments.

Preferred Skills:

• Experience with automatic speech recognition (ASR).
• Knowledge of retrieval-based models such as 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.

Why Join Us?

This role offers a chance to work on transformative projects that leverage large-scale datasets and cutting-edge AI techniques to solve real-world challenges. You'll collaborate with an innovative team of researchers and engineers, pushing the boundaries of what's possible in AI.

Apply today and become part of a team shaping the future of information retrieval and generative models!

Seniority level

Mid-Senior level

Employment type

Contract

Job function

Engineering, Information Technology, and Project Management

Industries

Software Development, Telecommunications, and Technology, Information and Media