Job Description
Shape the Future of Intelligence
Quantum Horizon AI is seeking a visionary Principal AI Research Scientist to lead our advanced initiatives. In this pivotal role, you will define the architectural roadmap for our next-generation Large Language Models and Generative AI systems. We are not just building for today; we are engineering the intelligent infrastructure of tomorrow.
Why Join Us?
- Work with state-of-the-art technology in a cutting-edge environment.
- Competitive compensation package with equity opportunities.
- Flexible remote-first culture with a collaborative HQ in San Francisco.
If you are passionate about pushing the boundaries of what is possible in AI and Machine Learning, we want to hear from you.
Responsibilities
- Lead the end-to-end research and development of proprietary AI models, including Transformer architectures and reinforcement learning frameworks.
- Collaborate with cross-functional engineering and product teams to translate theoretical research into scalable, production-ready solutions.
- Establish and mentor a team of junior researchers and data scientists, fostering a culture of innovation and technical excellence.
- Stay at the forefront of the industry by conducting deep dives into emerging trends in Deep Learning, NLP, and Neural Symbolic AI.
- Present complex technical concepts and research findings to executive stakeholders and technical audiences.
- Optimize model inference performance and drive efficiency improvements for cloud deployment environments.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Mathematics, Statistics, or a related quantitative field.
- 10+ years of professional experience in Artificial Intelligence, Machine Learning, or Deep Learning.
- Proven track record of publishing in top-tier conferences (NeurIPS, ICML, ACL, ICLR) or delivering high-impact production models.
- Expert proficiency in Python, PyTorch, TensorFlow, and modern distributed computing frameworks (Ray, Spark, Kubernetes).
- Deep understanding of Natural Language Processing (NLP) and Large Language Model (LLM) mechanisms.
- Strong experience in MLOps pipelines, model versioning, and A/B testing methodologies.
- Demonstrated ability to lead high-performing technical teams and manage complex project lifecycles.