Job Description
We are seeking a visionary Senior AI Research Scientist to join our elite engineering team. At Nexus Horizon, we are building the infrastructure for the next decade of artificial intelligence. You will be at the forefront of developing next-generation algorithms that redefine the boundaries of machine learning and neural networks.
In this role, you will lead research initiatives aimed at creating scalable, ethical, and efficient AI models. You will work closely with cross-functional teams of data engineers, product managers, and designers to translate theoretical research into production-ready applications that impact millions of users worldwide.
Why Join Us?
- Work on cutting-edge Generative AI and Large Language Model (LLM) technologies.
- Competitive compensation and equity package.
- Flexible remote-first culture with a hub in the heart of San Francisco.
- Opportunity to shape the ethical framework of AI adoption.
Responsibilities
- Design and implement state-of-the-art machine learning models and deep learning architectures.
- Conduct rigorous research to improve model accuracy, efficiency, and generalization capabilities.
- Collaborate with software engineers to deploy models into scalable production environments.
- Stay abreast of the latest academic papers and industry trends to integrate breakthrough innovations.
- Mentor junior researchers and contribute to the technical vision of the AI department.
- Optimize existing models for latency and throughput in real-time applications.
Qualifications
- PhD or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
- 5+ years of professional experience in AI/ML research and development.
- Strong proficiency in Python, PyTorch, or TensorFlow.
- Proven track record of publishing in top-tier conferences (NeurIPS, ICML, ICLR) or having a patent portfolio.
- Deep understanding of Natural Language Processing (NLP) and computer vision concepts.
- Experience with MLOps tools and cloud platforms (AWS, GCP, or Azure).