Job Description
Are you ready to define the technological landscape of the future? Nexus 2026 Inc. is seeking a visionary Senior AI Research Engineer to lead our groundbreaking initiative focused on next-generation neural architectures.
As a key member of our elite R&D team, you will bridge the gap between theoretical AI models and real-world scalable infrastructure. We are not just building software; we are architecting the cognitive layer for the future economy. If you thrive in high-pressure environments and are passionate about pushing the boundaries of machine learning, we want to hear from you.
Responsibilities
- Lead R&D: Spearhead the design and implementation of cutting-edge deep learning models tailored for high-volume, low-latency environments.
- Optimization: Architect scalable pipelines to process petabytes of data, ensuring 99.99% uptime and peak efficiency.
- Mentorship: Guide junior engineers and data scientists, fostering a culture of innovation and technical excellence.
- Collaboration: Partner with cross-functional teams in product, engineering, and design to translate complex AI capabilities into user-centric solutions.
- Research: Publish peer-reviewed papers and present at international conferences to establish Nexus 2026 as a thought leader in the industry.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
- Experience: 5+ years of professional experience in AI/ML engineering, with a strong portfolio of deployed production models.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and experience with Large Language Models (LLMs) and Generative AI.
- Architecture: Deep understanding of distributed systems, cloud infrastructure (AWS/Azure/GCP), and microservices architecture.
- Problem Solving: Demonstrated ability to solve complex, ambiguous problems with elegant technical solutions.