Job Description
Are you ready to architect the technological landscape of the year 2026 and beyond? At Nova 2026 Dynamics, we are not just predicting the future; we are building it. We are seeking a visionary Lead AI Research Scientist to lead our core research division, focusing on next-generation neural architectures and autonomous systems.
In this pivotal role, you will bridge the gap between theoretical AI breakthroughs and scalable, real-world applications. You will be working in a high-performance environment where your work will directly define the capabilities of our proprietary technologies. If you are a thought leader passionate about the convergence of deep learning and quantum computing, we want you on our team.
Why join Nova 2026?
- Work on cutting-edge AI models that will be industry standards in the next decade.
- Competitive compensation package and equity options.
- Flexible remote-first hybrid work environment.
Responsibilities
- Architect Next-Gen Models: Design and implement state-of-the-art deep learning algorithms, specifically targeting Large Language Models (LLMs) and generative adversarial networks (GANs).
- Research Leadership: Spearhead R&D initiatives, define the technical roadmap, and publish high-impact research papers in top-tier conferences (NeurIPS, ICML, ICLR).
- Team Mentorship: Recruit, mentor, and manage a team of brilliant data scientists and engineers, fostering a culture of innovation and continuous learning.
- Scalability Engineering: Optimize model inference for low-latency, high-volume production environments, ensuring our AI can scale globally.
- Cross-Functional Collaboration: Partner with product and engineering teams to translate complex research findings into deployable software solutions.
- Resource Management: Manage research budgets and allocate resources efficiently to maximize project ROI and scientific output.
Qualifications
- Education: Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field (e.g., Mathematics, Statistics).
- Experience: 5+ years of professional experience in AI/ML research or development, with a proven track record of leading technical projects.
- Technical Skills: Expert proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, Apache Spark).
- Domain Knowledge: Deep understanding of neural network theory, natural language processing, or computer vision.
- Problem Solving: Demonstrated ability to solve complex, open-ended technical problems with innovative solutions.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders and publish research papers.