Job Description
Shape the Future of Intelligence (2026 Vision)
Join Nexus Core Systems, a pioneer in next-generation artificial intelligence, as we prepare for the paradigm shift of 2026. We are looking for a visionary Senior AI Research Engineer to architect the algorithms that will define the next decade of human-machine interaction.
In this role, you will bridge the gap between theoretical research and scalable production systems. You will work on cutting-edge projects involving Generative AI, Quantum-Ready Neural Networks, and autonomous decision-making frameworks. If you are passionate about the trajectory of AI and want to build the technology that powers the world in 2026, we want to hear from you.
Why Join Us?
- Work at the forefront of the 2026 AI revolution.
- Competitive compensation package and equity options.
- Flexible remote-first culture with a hub in San Francisco.
Responsibilities
- Architect Next-Gen Models: Design and implement advanced deep learning architectures optimized for the performance targets required for 2026 deployment.
- Research Leadership: Lead internal research initiatives focused on Large Language Models (LLMs), Computer Vision, and Reinforcement Learning.
- Scalability Optimization: Translate research prototypes into production-ready, high-performance inference engines capable of handling massive data loads.
- Ethical AI Compliance: Ensure all AI systems adhere to emerging global standards for AI safety, transparency, and bias mitigation.
- Collaboration: Partner with cross-functional teams in product, engineering, and design to integrate AI capabilities seamlessly.
- Technical Mentorship: Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning.
Qualifications
- Education: Master’s or PhD degree in Computer Science, Mathematics, Physics, or a related field (or equivalent practical experience).
- Technical Proficiency: Deep expertise in Python, PyTorch, TensorFlow, or JAX.
- Research Experience: Proven track record of publishing in top-tier conferences (NeurIPS, ICML, ICLR) or patents.
- System Design: Strong understanding of distributed systems, cloud infrastructure (AWS/GCP), and GPU optimization techniques.
- Problem Solving: Exceptional ability to tackle ambiguous, complex problems with innovative mathematical solutions.
- Communication: Excellent written and verbal communication skills for technical documentation and stakeholder presentations.