Job Description
Shape the Future of Technology by 2026
Nebula Future Labs is at the forefront of the AI revolution. As we define our roadmap for the next three years, we are seeking a visionary Senior AI Research Scientist to lead our breakthrough initiatives in Generative AI and Large Language Models (LLMs). This is a high-impact role where you will define the technical strategy that drives our products into the future.
In this role, you will bridge the gap between cutting-edge academic research and scalable, production-grade engineering. You will mentor a world-class team of researchers and engineers, ensuring our solutions are not only innovative but also ethically sound and future-proof.
Why Join Us?
- Work on projects that define the industry standard for AI by 2026.
- Competitive compensation package with equity options.
- Flexible remote-first work culture with access to state-of-the-art labs.
- Opportunity to publish research in top-tier conferences.
Responsibilities
- Lead high-level research initiatives focused on achieving our 2026 strategic goals for Artificial General Intelligence (AGI) and autonomous systems.
- Design, develop, and deploy state-of-the-art deep learning models and algorithms using Python and PyTorch/TensorFlow.
- Collaborate closely with product management and engineering teams to translate theoretical research into scalable software products.
- Mentor and guide junior researchers and data scientists, fostering a culture of innovation and continuous learning.
- Stay abreast of the latest developments in the AI landscape to ensure Nebula Labs remains ahead of the curve.
- Evaluate and integrate new datasets to improve model accuracy and robustness.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Machine Learning, Mathematics, or a related quantitative field.
- 5+ years of professional experience in research, data science, or machine learning engineering.
- Extensive experience with deep learning frameworks (PyTorch, TensorFlow, JAX) and distributed computing systems.
- Strong programming skills in Python, including experience with C++ or CUDA for performance optimization.
- Proven track record of publishing research in reputable venues (NeurIPS, ICML, ICLR, etc.) or leading significant open-source projects.
- Excellent communication skills, with the ability to explain complex technical concepts to diverse stakeholders.