Job Description
Join the Architects of Tomorrow.
At Nexus Horizon Labs, we are not just predicting the future; we are building it. We are seeking a visionary Senior AI Research Scientist to lead our breakthrough initiatives in Generative AI and Large Language Models (LLMs). If you are passionate about pushing the boundaries of what is possible in machine learning and want to solve complex problems that define the next decade of technology, this is your opportunity.
Why Join Us?
- Impact: Work on projects that will fundamentally reshape how humans interact with technology.
- Innovation: Access to cutting-edge compute resources and a culture that rewards risk-taking.
- Growth: Competitive compensation package and clear pathways for leadership advancement.
Ready to define the future of intelligence? Apply today.
Responsibilities
- Lead the research, design, and implementation of state-of-the-art generative models, including LLMs and diffusion models.
- Collaborate with cross-functional engineering teams to translate theoretical research into scalable production models.
- Conduct rigorous experimentation, hyperparameter tuning, and benchmarking to improve model performance and efficiency.
- Publish high-impact research papers and contribute to the open-source community.
- Ensure ethical AI practices and mitigate biases in training data and model outputs.
- Stay ahead of the curve on emerging trends in Deep Learning, NLP, and Computer Vision.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related field with a focus on Artificial Intelligence.
- 5+ years of professional experience in AI/ML research or a related industrial role.
- Strong proficiency in Python and deep learning frameworks (PyTorch, TensorFlow, or JAX).
- Deep understanding of transformer architectures, attention mechanisms, and neural network optimization.
- Proven track record of publishing in top-tier conferences (NeurIPS, ICML, ACL, ICLR) or equivalent industry experience.
- Excellent communication skills, with the ability to articulate complex technical concepts to diverse audiences.