Job Description
We are on the precipice of a new era in artificial intelligence. Nexus Core Systems is seeking a visionary Senior AI Research Engineer to architect the infrastructure that will define the 2026 technological landscape. If you are passionate about pushing the boundaries of Generative AI, Large Language Models (LLMs), and Artificial General Intelligence (AGI), we want to hear from you.
In this pivotal role, you will lead a high-performance team in developing scalable, efficient, and ethical AI models. You will be responsible for translating high-level research concepts into production-ready systems that drive our strategic roadmap. Join us in shaping the future of technology and build the intelligent systems of tomorrow.
Responsibilities
- Lead Model Development: Spearhead the research and development of next-generation neural network architectures tailored for the 2026 product roadmap.
- Optimization & Scalability: Design and implement algorithms that optimize model performance and reduce inference latency for high-volume applications.
- Research Publication: Publish high-impact papers and present findings at leading AI conferences (NeurIPS, ICML, ICLR) to establish thought leadership.
- Collaboration: Partner with cross-functional teams including Product, Engineering, and Ethics boards to ensure responsible AI deployment.
- Data Strategy: Oversee the curation and processing of massive datasets to train robust and unbiased models.
- Mentorship: Mentor junior researchers and engineers, fostering a culture of innovation and technical excellence within the team.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Mathematics, or a related field with a focus on Artificial Intelligence.
- Experience: 5+ years of professional experience in Machine Learning, Deep Learning, or Natural Language Processing.
- Tech Stack: Proficiency in Python, PyTorch, TensorFlow, and Hugging Face Transformers.
- Research Background: Proven track record of publishing in top-tier AI venues and delivering production-level models.
- Problem Solving: Strong analytical skills with the ability to tackle complex, unstructured problems.
- Communication: Excellent verbal and written communication skills for technical and non-technical stakeholders.