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AI Research Scientist 2026 | Austin, TX

Horizon Dynamics
Austin, Texas
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

The Future of Intelligence is Here.

Horizon Dynamics is pioneering the next generation of Artificial General Intelligence (AGI). We are seeking a visionary AI Research Scientist 2026 to lead the charge in developing scalable, adaptive neural architectures that define the technological landscape of the upcoming decade.

In this role, you will bridge the gap between theoretical research and real-world deployment, working on cutting-edge models that will power the autonomous systems of tomorrow. Join a team of elite engineers and researchers dedicated to pushing the boundaries of what is possible in machine learning.

Responsibilities

  • Architect Next-Gen Models: Design and implement novel deep learning architectures tailored for the 2026 AI landscape.
  • Lead Research Initiatives: Spearhead the exploration of emergent AI behaviors, including self-supervised learning and reasoning capabilities.
  • Optimize Performance: Push inference speeds to the edge while maintaining high accuracy on complex, dynamic datasets.
  • Collaborate with Engineering: Translate theoretical breakthroughs into production-ready code and scalable infrastructure.
  • Mentor & Grow: Guide a team of junior data scientists and engineers, fostering a culture of innovation and rigorous scientific inquiry.
  • Publish & Disseminate: Author high-impact research papers and present findings at top-tier global conferences.
  • Future-Proof Systems: Anticipate industry shifts and adapt research trajectories to meet the evolving needs of enterprise clients.

Qualifications

  • Education: Ph.D. or Master’s degree in Computer Science, Mathematics, or a related quantitative field with a focus on Artificial Intelligence.
  • Experience: 5+ years of experience in research roles, preferably within top-tier tech firms or academic institutions.
  • Technical Skills: Deep expertise in PyTorch, TensorFlow, or JAX. Proficiency in distributed systems and high-performance computing.
  • Research Track Record: Demonstrated history of publishing peer-reviewed papers and contributing to open-source AI projects.
  • Language Mastery: Exceptional proficiency in English; fluency in other languages is a plus.
  • Visionary Mindset: Ability to think several steps ahead regarding ethical AI, alignment, and long-term system behavior.
  • Problem Solving: Strong analytical skills with a proven ability to solve complex, unstructured problems.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Distributed Computing Research Leadership Python C++ CUDA

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