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Senior AI Research Scientist - Future Tech

Nebula Horizon Labs
Austin
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are on the cutting edge of technological evolution, building the foundational models for the year 2026 and beyond. As a Senior AI Research Scientist at Nebula Horizon Labs, you will lead the development of next-generation artificial intelligence systems capable of solving complex, real-world problems in predictive analytics and autonomous systems.

Why Join Us?
We are not just building software; we are architecting the future. You will work in a dynamic environment where innovation is the only constant, collaborating with world-class engineers and data scientists to push the boundaries of what is possible.

What You'll Do:

Responsibilities

  • Lead Research Initiatives: Spearhead the research and development of advanced AI algorithms and machine learning models focused on scalability and efficiency.
  • Prototype Development: Design and implement proof-of-concept prototypes for novel AI architectures, including Generative AI and Deep Reinforcement Learning.
  • Model Optimization: Optimize existing models for performance, reducing latency and improving accuracy in high-volume environments.
  • Technical Mentorship: Mentor junior data scientists and engineers, fostering a culture of continuous learning and technical excellence.
  • Collaboration: Work closely with product managers and engineering teams to translate research findings into production-ready solutions.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, Mathematics, or a related field.
  • Experience: Minimum of 5+ years of experience in AI/ML research or development roles.
  • Technical Skills: Proficiency in Python, PyTorch, or TensorFlow; experience with Large Language Models (LLMs) and transformer architectures.
  • Problem Solving: Strong analytical skills with a proven track record of solving complex algorithmic challenges.
  • Communication: Excellent verbal and written communication skills for technical documentation and presentations.

Required Skills

Python Machine Learning Deep Learning PyTorch TensorFlow Natural Language Processing AI Architecture Cloud Computing (AWS/GCP)

Ready to Take This Challenge?

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