Job Description
Are you ready to architect the intelligence of tomorrow? Nebula Systems is pioneering the next generation of artificial intelligence, and we are seeking a visionary Lead AI Research Scientist to spearhead our 2026 roadmap. In this role, you will bridge the gap between theoretical machine learning and practical quantum-ready neural architectures.
We are looking for a thought leader who isn't just comfortable with current trends but is obsessed with the bleeding edge of what's possible. You will work in a high-performance environment with direct access to cutting-edge hardware, helping define the algorithms that will power the autonomous systems of the future.
Why join Nebula Systems?
- Work on projects that define the AI landscape for the 2026 era.
- Competitive compensation and equity packages.
- Access to state-of-the-art computational resources.
Responsibilities
- Architect Next-Gen Models: Design and implement scalable, state-of-the-art deep learning models tailored for 2026 applications, including generative AI and predictive analytics.
- Quantum Integration: Collaborate with quantum computing teams to integrate classical neural networks with quantum algorithms.
- Research & Development: Publish high-impact research papers and contribute to open-source initiatives in the AI community.
- Technical Leadership: Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning.
- System Optimization: Optimize model latency and throughput for edge devices and cloud infrastructure.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Mathematics, Physics, or a related field, with a focus on Artificial Intelligence or Machine Learning.
- Experience: Minimum 5 years of professional experience in AI research and development, preferably in a senior or lead capacity.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and C++.
- Domain Knowledge: Deep understanding of Large Language Models (LLMs), Transformer architectures, and reinforcement learning.
- Problem Solving: Exceptional ability to solve complex, unstructured problems with novel algorithmic solutions.