Job Description
We are seeking a visionary Senior AI Research Scientist to pioneer the technological landscape of 2026. As we bridge the gap between current AI capabilities and future requirements, you will lead the development of scalable, generative AI architectures designed to redefine human-machine interaction.
In this role, you will operate at the intersection of deep learning, large language models (LLMs), and autonomous agent workflows. You will collaborate with a world-class team to solve complex problems that drive the next generation of intelligent software.
Why Join Us?
- Work on cutting-edge projects that will shape the industry standard for 2026.
- Competitive equity package and comprehensive benefits.
- Flexible remote-first culture with quarterly in-person innovation summits.
Responsibilities
- Architect and train next-generation foundation models focusing on multimodal learning and reasoning.
- Optimize deep learning pipelines for high-scale inference and real-time data processing.
- Research novel techniques in reinforcement learning and self-supervised learning to improve model autonomy.
- Collaborate with product engineering teams to translate research findings into production-ready APIs.
- Lead technical discussions and mentor junior researchers and data scientists.
- Stay abreast of global AI trends to ensure our roadmap remains competitive through 2026 and beyond.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related technical field.
- 5+ years of experience in deep learning, machine learning, or NLP research.
- Expert proficiency in Python, PyTorch, and TensorFlow.
- Strong publication record in top-tier AI conferences (NeurIPS, ICML, ICLR, ACL).
- Experience with LLM fine-tuning, RAG (Retrieval-Augmented Generation), and agent orchestration.
- Experience deploying AI models to cloud infrastructure (AWS/GCP/Azure).