Job Description
We are pioneering the technologies that will define the year 2026 and beyond. Join Quantum Horizon AI as a Senior AI Research Scientist and lead the charge in developing next-generation artificial intelligence systems that are autonomous, explainable, and scalable.
The Future is Now
As a key member of our elite R&D team, you will work on the bleeding edge of technology, collaborating with world-class engineers and data scientists to solve complex problems that shape the future of human-machine interaction. We are looking for visionaries who want to build the infrastructure for tomorrow.
What You'll Do
- Lead Research: Spearhead the development and optimization of proprietary Large Language Models (LLMs) tailored for high-stakes enterprise applications.
- Architect Pipelines: Design, build, and deploy scalable machine learning infrastructure on major cloud platforms (AWS/GCP/Azure).
- Algorithm Innovation: Conduct rigorous experimentation with novel AI architectures and deep learning techniques to improve model accuracy and efficiency.
- Cross-Functional Leadership: Mentor junior researchers and collaborate with product teams to translate complex technical concepts into market-ready solutions.
What You Bring
- Education: Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Experience: 5+ years of hands-on experience in machine learning research and production-level deployment.
- Technical Skills: Deep expertise in PyTorch, TensorFlow, or JAX, with a strong command of Python.
- Domain Knowledge: Proven track record in Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.
Why Quantum Horizon AI?
Competitive compensation, comprehensive health benefits, and the opportunity to work on projects that change the world. We offer a flexible remote-first culture and continuous learning opportunities.
Responsibilities
- Lead the research and development of proprietary Large Language Models (LLMs) optimized for 2026 enterprise needs.
- Architect and deploy scalable machine learning pipelines on cloud infrastructure.
- Conduct rigorous experimentation and validation of novel AI algorithms.
- Mentor junior researchers and contribute to the company's intellectual property.
Qualifications
- Ph.D. in Computer Science, Artificial Intelligence, or a related field.
- 5+ years of experience in machine learning research and deployment.
- Deep expertise in PyTorch, TensorFlow, or JAX.
- Strong background in Natural Language Processing (NLP) and Generative AI.