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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Research Scientist - Generative Models

Nexus Horizon AI
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Are you ready to architect the technological landscape of 2026 and beyond? Nexus Horizon AI is seeking a visionary Senior AI Research Scientist to spearhead our next-generation generative model initiatives. We are on a mission to redefine human-computer interaction through advanced Artificial General Intelligence (AGI) research.

In this pivotal role, you will work at the intersection of theoretical mathematics and practical engineering. You will lead a team of elite data scientists to build scalable, robust, and ethical AI systems that solve real-world problems. Join us in shaping the future of intelligent automation.

Responsibilities

  • Design and implement state-of-the-art deep learning architectures for large-scale generative tasks.
  • Lead high-impact research projects focused on Transformer models, diffusion processes, and reinforcement learning.
  • Collaborate closely with product teams to translate theoretical breakthroughs into commercial applications.
  • Optimize model performance for speed, accuracy, and energy efficiency in production environments.
  • Author and publish peer-reviewed research papers to establish thought leadership in the AI community.
  • Mentor junior researchers and foster a culture of innovation and technical excellence.

Qualifications

  • Ph.D. or Master's degree in Computer Science, Machine Learning, or a related quantitative field.
  • 5+ years of experience in deep learning research, with a focus on LLMs or Generative Adversarial Networks.
  • Expert proficiency in Python, PyTorch, and TensorFlow.
  • Strong foundation in linear algebra, calculus, and probability theory.
  • Demonstrated ability to manage complex research lifecycles from ideation to deployment.

Required Skills

Python PyTorch TensorFlow Deep Learning NLP Machine Learning Research PhD Transformers MLOps AI Ethics

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