Job Description
We are on a mission to define the technological landscape of 2026. As a Senior AI Research Scientist, you will lead the charge in developing the next generation of generative models and autonomous agents. Join our elite team in San Francisco and help build the intelligence that powers the future.
Why Join Us?
- Work on cutting-edge Agentic AI architectures designed for the enterprise of tomorrow.
- Competitive equity package and performance bonuses tied to 2026 roadmap milestones.
- Access to state-of-the-art compute clusters and research grants.
The Role:
You will bridge the gap between theoretical deep learning and practical deployment, ensuring our models are scalable, efficient, and safe for real-world application. Your work will directly influence the core product roadmap for the coming years.
Responsibilities
- Lead the research and development of proprietary Large Language Models (LLMs) optimized for 2026 standards.
- Design and implement novel neural network architectures to improve inference speed and accuracy.
- Collaborate with engineering teams to transition research prototypes into production-ready APIs.
- Stay ahead of the curve on emerging AI trends, including Multimodal Learning and Neuromorphic Computing.
- Conduct rigorous A/B testing and evaluation of model performance against industry benchmarks.
- Mentor junior researchers and contribute to a culture of technical excellence and innovation.
Qualifications
- PhD or Master's degree in Computer Science, Mathematics, or a related quantitative field.
- 5+ years of professional experience in Machine Learning, Deep Learning, or Natural Language Processing.
- Strong proficiency in Python, PyTorch, or TensorFlow.
- Experience with distributed training frameworks and large-scale cloud infrastructure (AWS/GCP).
- Deep understanding of Transformer architectures and attention mechanisms.
- Proven track record of publishing in top-tier conferences (NeurIPS, ICML, ACL).