Junior Natural Language Processing (NLP) Researcher

We are looking for a Junior Natural Language Processing (NLP) Researcher to join our Natural Language Processing team at Neurotechnology.

Neurotechnology is a developer of high-precision algorithms and software based on deep neural networks and other AI-related technologies. The company was launched in 1990 in Vilnius, Lithuania, with the key idea of leveraging neural network capabilities for various applications, such as biometric person identification, natural language processing (NLP), computer vision, and artificial intelligence. The company's solutions and products have been used in more than 140 countries worldwide. As part of our team, you'll contribute to large-scale projects.

Our NLP research team is dedicated to pushing the boundaries of natural language understanding and generation. We work on diverse topics such as developing advanced language models, text summarization, knowledge representation, and multilingual NLP. Our team has contributed to significant achievements, such as developing the first Large Language Model (LLM) for the Lithuanian language. As a Junior NLP Researcher at Neurotechnology, you will focus on theoretical and experimental aspects of NLP, conducting research to develop new methodologies and improve existing models. You will work alongside experienced researchers and engineers to create innovative solutions in the field of NLP.

• Conduct research in NLP, including language modeling, text classification, named entity recognition, and machine translation.
• Develop, test, and improve novel NLP algorithms and deep learning architectures.
• Read and analyze recent research papers, applying new findings to internal research projects.
• Work with large-scale datasets to explore data-driven approaches in NLP.
• Train and fine-tune deep learning models using frameworks such as PyTorch and TensorFlow.
• Collaborate with engineers and domain experts to integrate research findings into real-world applications.
• Contribute to internal reports, research publications, and technical documentation.

• Strong Python knowledge, particularly in working with text and natural language data.
• Solid understanding of Natural Language Processing concepts (e.g. tokenization, embeddings, transformers, attention mechanisms).
• Familiarity with deep learning frameworks (PyTorch, TensorFlow).
• Basic knowledge of statistical methods, probability, and linear algebra.
• Experience in reading and analyzing NLP-related research papers.
• Familiarity with NLP datasets and benchmarks (e.g., GLUE, CoNLL, SQuAD).
• Ability to run experiments, analyze results, and iterate on findings.
• Strong analytical and problem-solving skills.
• Good communication and teamwork abilities.

• Experience with unsupervised or semi-supervised learning in NLP.
• Knowledge of reinforcement learning or self-supervised learning techniques.
• Experience working with cloud computing (AWS, GCP, or Azure).
• Understanding of multilingual NLP challenges and solutions.
• Interest in publishing research papers or contributing to open-source projects.

• Competitive salary and performance bonuses – get rewarded for your research contributions and innovations.
• Opportunities for academic growth – access to top-tier courses, conferences, and mentorship to deepen your expertise.
• Cutting-edge research environment – work on challenging and impactful NLP projects with talented researchers.
• Flexible work arrangements – adapt your work schedule to maximize productivity.
• Health and wellness benefits – private health insurance options available.
• Cutting-edge hardware experience – gain hands-on experience working with A100/H100 GPUs, keeping you at the forefront of AI and high-performance computing.

We encourage individuals passionate about NLP research to apply, even if their background is in related fields. The monthly salary for this position starts at 1800 EUR (gross) and is negotiable based on experience and expertise.