Job Description
Join the Future of Intelligence
Nexus 2026 is at the forefront of the next technological revolution. We are seeking a visionary Senior AI Research Scientist to lead the development of cutting-edge generative models that will define the landscape of artificial intelligence for the coming decade. If you are passionate about pushing the boundaries of what is possible with Large Language Models (LLMs) and autonomous agents, we want to hear from you.
In this role, you will bridge the gap between theoretical research and scalable production systems, working alongside world-class engineers and researchers to build the AI infrastructure of tomorrow.
Responsibilities
- Lead Research & Development: Spearhead the research, design, and implementation of state-of-the-art generative AI models and neural architectures.
- Model Optimization: Enhance model inference speed, accuracy, and efficiency to support real-world, high-volume applications.
- Publish Innovation: Contribute to the academic community by publishing high-impact research papers and patents.
- Technical Leadership: Mentor a team of data scientists and engineers, establishing best practices for MLOps and model governance.
- Strategic Roadmap: Collaborate with product leadership to define the technical vision and roadmap for AI-driven features.
- Cross-Functional Collaboration: Partner with engineering and product teams to integrate complex AI solutions into consumer products.
Qualifications
- Education: Ph.D. or Master’s degree in Computer Science, Mathematics, or a related technical field with a focus on AI/ML.
- Experience: Minimum of 5+ years of experience in research or applied machine learning, specifically in Natural Language Processing (NLP) and Deep Learning.
- Technical Skills: Strong proficiency in Python, PyTorch, TensorFlow, or JAX. Experience with distributed training frameworks (Ray, Kubernetes).
- Model Expertise: Deep understanding of transformer architectures, fine-tuning methodologies, and prompt engineering.
- Problem Solving: Proven track record of solving complex technical challenges and delivering scalable solutions.
- Communication: Excellent written and verbal communication skills for translating complex technical concepts to diverse audiences.