Job Description
The Future is Here at Nova 2026
Nova 2026 is pioneering the next generation of artificial general intelligence. We are building the neural architectures that will define the digital landscape of the 2026 era. We are looking for a visionary Lead AI Research Scientist to join our elite R&D division and push the boundaries of machine learning.
In this role, you will not just use existing models; you will architect the future. You will work on cutting-edge projects involving predictive analytics, autonomous systems, and generative synthetic environments.
Why Join Nova 2026?
- Work on mission-critical technology that shapes the future.
- Competitive equity package and top-tier compensation.
- Collaborate with world-class engineers and data scientists.
We are committed to diversity and inclusion. We encourage applications from all qualified candidates.
Responsibilities
- Design and implement state-of-the-art deep learning architectures for large-scale data processing.
- Lead a team of junior researchers and engineers in exploratory data analysis and model training.
- Optimize neural networks for low-latency inference in edge computing environments.
- Publish high-impact research papers in top-tier AI conferences and journals.
- Collaborate with product teams to translate theoretical research into scalable production solutions.
- Stay ahead of the curve by monitoring emerging AI trends and integrating novel methodologies.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related field with a focus on AI/ML.
- 5+ years of professional experience in machine learning research or applied AI.
- Deep expertise in Python, PyTorch, TensorFlow, or JAX.
- Proven track record of publishing research in venues such as NeurIPS, ICML, or ICLR.
- Strong understanding of NLP, Computer Vision, or Reinforcement Learning.
- Experience with cloud infrastructure (AWS, GCP, or Azure) and MLOps pipelines.