Job Description
Join the 2026 AI Revolution
Nebula Core Systems is pioneering the next generation of artificial intelligence. We are looking for a visionary Senior AI Research Scientist to spearhead our '2026 Horizon' initiative. This is not just a job; it is an opportunity to define the technical roadmap for the next decade. You will work on cutting-edge generative models, scalable neural architectures, and ethical AI frameworks that will power the enterprise of tomorrow.
Why Join Us?
At Nebula, we believe in pushing the boundaries of what is possible. Our '2026 Horizon' project is our flagship research division, dedicated to solving the most complex challenges in Natural Language Processing (NLP) and Computer Vision. You will receive top-tier compensation, stock options, and the autonomy to experiment and innovate.
Your Role
You will lead a team of elite engineers and data scientists to build the foundational models for our 2026 product suite. Your work will directly impact millions of users globally, setting the standard for AI safety, efficiency, and performance.
Responsibilities
- Lead Strategic Research: Define and execute the technical vision for the 2026 Horizon initiative, focusing on advanced LLMs and multimodal AI systems.
- Model Architecture: Design, prototype, and deploy novel neural network architectures optimized for speed and accuracy.
- Team Leadership: Mentor junior researchers and data scientists, fostering a culture of innovation and continuous learning.
- Collaboration: Work closely with product managers and engineering teams to translate research breakthroughs into scalable production solutions.
- Performance Optimization: Rigorously test and optimize model inference latency to meet real-time application requirements.
- Publications: Author high-impact research papers and present at top-tier global AI conferences to establish industry thought leadership.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Mathematics, or a related field with a focus on Machine Learning.
- Experience: 5+ years of experience in AI/ML research, with a proven track record of publications in venues like NeurIPS, ICML, or ACL.
- Technical Skills: Proficiency in Python, PyTorch, or TensorFlow; deep understanding of transformer models and attention mechanisms.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders and cross-functional teams.
- Problem Solving: Demonstrated ability to tackle ambiguous problems and derive data-driven solutions.
- Agile Mindset: Experience working in fast-paced, agile environments with rapid iteration cycles.