Job Description
Join the Architects of Tomorrow.
NeuralCore Technologies is at the forefront of the 2026 AI revolution. We are seeking a visionary Senior AI Research Scientist to lead the development of next-generation generative models and autonomous systems. If you are passionate about pushing the boundaries of artificial intelligence and shaping the technological landscape of the near future, we want to hear from you.
In this pivotal role, you will work alongside world-class engineers and researchers to solve complex problems in Natural Language Processing and Computer Vision, delivering solutions that redefine human-machine interaction.
Responsibilities
- Lead Research Initiatives: Spearhead the design and implementation of cutting-edge machine learning algorithms focused on the 2026 technology landscape.
- Model Development: Architect scalable deep learning models and fine-tune foundation models for high-performance deployment.
- Collaboration: Partner with cross-functional teams including product management, engineering, and data science to translate research into market-ready products.
- Publication: Author high-impact research papers for top-tier conferences and journals to establish NeuralCore as a thought leader in the AI community.
- Mentorship: Guide junior researchers and data scientists, fostering a culture of innovation and continuous learning.
- Optimization: Drive performance optimization and reduce computational costs while maintaining model accuracy.
Qualifications
- Education: Ph.D. or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
- Experience: 5+ years of professional experience in AI/ML research or a related role, with a proven track record of publications.
- Technical Skills: Deep expertise in Python, PyTorch, or TensorFlow; experience with Large Language Models (LLMs) and Transformers.
- Domain Knowledge: Strong background in Natural Language Processing (NLP) or Computer Vision is highly preferred.
- Problem Solving: Exceptional ability to tackle ambiguous problems and derive innovative solutions in dynamic environments.
- Communication: Excellent written and verbal communication skills, capable of presenting complex technical concepts to diverse audiences.