Job Description
At Horizon 2026, we are not merely predicting the future; we are engineering it. As a leading pioneer in advanced artificial intelligence and generative systems, we are seeking a visionary Senior AI Research Engineer to join our elite team in Austin, Texas. You will play a pivotal role in developing the next generation of neural architectures that will define the technological landscape of 2026 and beyond.
If you are passionate about pushing the boundaries of what is possible in deep learning and want to work in an environment that fosters radical innovation, we want to hear from you.
Responsibilities
- Lead Research Initiatives: Design and implement cutting-edge machine learning models, focusing on Large Language Models (LLMs) and Computer Vision.
- Prototype Development: Rapidly prototype novel algorithms and integrate them into scalable production environments.
- Publication & Innovation: Author high-impact research papers and contribute to open-source communities to establish Horizon 2026 as an industry thought leader.
- Cross-Functional Collaboration: Partner with product managers and engineering teams to translate complex research into practical, user-centric applications.
- Technical Mentorship: Mentor junior researchers and engineers, fostering a culture of continuous learning and technical excellence within the department.
- Performance Optimization: Rigorously analyze model performance and optimize inference speeds to ensure real-time responsiveness.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Artificial Intelligence, Robotics, or a related quantitative field.
- Experience: 5+ years of professional experience in machine learning or deep learning research.
- Technical Stack: Strong proficiency in Python, PyTorch, TensorFlow, and C++.
- Research Track Record: Demonstrated history of publishing at top-tier conferences (NeurIPS, ICML, ICLR, ACL).
- Domain Expertise: Deep understanding of Natural Language Processing (NLP), Transformers, or Reinforcement Learning.
- Problem Solving: Ability to tackle unstructured problems and derive insights from complex datasets.