Job Description
Are you ready to define the future of intelligence by 2026? Nexus Future Labs is seeking a visionary Lead AI Research Scientist to spearhead our breakthrough research in Generative Vision Models. We are building the next generation of cognitive architectures that will redefine human-machine interaction.
In this role, you will operate at the intersection of theoretical mathematics and practical engineering, leading a world-class team to develop scalable, efficient, and ethically sound AI systems. If you are passionate about pushing the boundaries of what is possible with artificial general intelligence, we want to meet you.
Why Join Us?
We offer competitive equity packages, flexible remote-first work options, and the opportunity to work on projects that will shape the trajectory of technology for the next decade.
Responsibilities
- Design and implement state-of-the-art deep learning architectures for Generative Vision Models, focusing on scalability and real-time inference.
- Lead a team of junior researchers and ML engineers, conducting code reviews and providing mentorship on technical best practices.
- Collaborate with product managers and engineers to translate cutting-edge research into production-ready AI solutions.
- Stay at the forefront of the industry by publishing high-impact papers and attending top-tier global conferences.
- Optimize model performance for edge devices and high-volume cloud environments.
- Define the technical roadmap for our AI research initiatives, ensuring alignment with company long-term vision.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related quantitative field.
- Minimum of 5+ years of experience in deep learning, with a focus on Generative AI, Transformers, or GANs.
- Proficiency in Python, PyTorch, or TensorFlow with a strong command of C++ for performance optimization.
- Proven track record of publishing research in top-tier venues (NeurIPS, ICML, ICLR, CVPR).
- Strong understanding of neural network theory, optimization algorithms, and distributed systems.
- Excellent communication skills, with the ability to explain complex technical concepts to diverse stakeholders.