Job Description
Are you ready to pioneer the next generation of artificial intelligence? Nexus Horizon Labs is looking for a visionary Senior AI Research Scientist to join our elite team in San Francisco. As we look towards the technological landscape of 2026 and beyond, we need a leader who can bridge the gap between theoretical research and scalable production systems.
In this role, you will be at the forefront of developing advanced machine learning models, optimizing neural architectures, and defining the ethical standards for next-gen AI deployment. If you are passionate about the future of technology and thrive in a high-performance environment, we want to hear from you.
Responsibilities
- Lead Research Initiatives: Spearhead the development and implementation of cutting-edge AI models, focusing on Large Language Models (LLMs) and generative adversarial networks.
- Model Optimization: Reduce latency and improve inference accuracy for real-time applications across mobile and edge devices.
- Technical Mentorship: Guide junior data scientists and engineers, fostering a culture of continuous learning and technical excellence.
- Collaboration: Work closely with cross-functional teams including product management, engineering, and design to translate research into user-centric features.
- Publication: Author high-impact research papers and present findings at top-tier AI conferences and workshops.
- Infrastructure: Design scalable pipelines and data pipelines to support large-scale model training and evaluation.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Mathematics, Statistics, or a related field with a focus on Artificial Intelligence.
- Experience: 5+ years of professional experience in machine learning research or applied AI development.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, or JAX; deep understanding of deep learning architectures (CNNs, RNNs, Transformers).
- Mathematics: Strong grasp of linear algebra, calculus, probability, and statistics.
- Communication: Excellent verbal and written communication skills, capable of explaining complex technical concepts to non-technical stakeholders.
- Problem Solving: Demonstrated ability to tackle ambiguous problems and deliver robust solutions under tight deadlines.