Job Description
We are seeking a visionary Principal AI Research Engineer to lead our groundbreaking initiatives for the year 2026 and beyond. At Quantum Horizon, we aren't just building software; we are architecting the intelligence of tomorrow.
In this pivotal role, you will define the technical roadmap for our next-generation Large Language Models (LLMs) and autonomous agents. You will work in a high-performance environment that demands innovation, rigor, and a passion for pushing the boundaries of artificial general intelligence.
Why join us?
- Competitive equity and salary package.
- Top-tier research equipment and compute resources.
- Flexible remote-first culture with hubs in Austin, TX.
Responsibilities
- Drive the research and development of proprietary foundation models focused on multimodal learning and reasoning.
- Design and implement scalable training pipelines capable of handling petabyte-scale datasets.
- Collaborate with cross-functional teams to integrate AI capabilities into consumer-facing products.
- Contribute to the academic community by publishing high-impact research papers.
- Mentor and guide junior researchers and data scientists.
- Ensure ethical AI practices and bias mitigation in model training.
Qualifications
- Ph.D. in Computer Science, Machine Learning, or a related quantitative field (or equivalent industry experience).
- 5+ years of experience in deep learning, specifically with transformer architectures.
- Expert proficiency in Python, PyTorch, or TensorFlow.
- Proven track record of deploying AI models to production environments at scale.
- Strong understanding of distributed systems and high-performance computing.
- Excellent communication skills and technical leadership abilities.