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Senior AI Research Scientist – Next-Gen Intelligence

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 185.000 – USD 275.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Are you ready to architect the future? Nexus Horizon Labs is seeking a visionary Senior AI Research Scientist to spearhead our 'Project 2026' initiative. We are not just building the next iteration of AI; we are defining the roadmap for artificial general intelligence (AGI) in a sustainable, ethical framework. You will work at the intersection of theoretical research and real-world application, pushing the boundaries of what is possible with large language models and neural architectures.

Responsibilities

  • Lead the architectural design and development of next-generation neural networks and deep learning models.
  • Drive research initiatives focused on scaling, efficiency, and safety for future AI systems.
  • Collaborate with cross-functional engineering teams to translate theoretical research into production-ready code.
  • Mentor junior researchers and data scientists, fostering a culture of innovation and critical thinking.
  • Publish high-impact papers and present findings at top-tier international conferences.
  • Define the technical roadmap for the 2026 evolution of our core AI infrastructure.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
  • 7+ years of professional experience in AI/ML research, preferably within a top-tier tech company or research lab.
  • Deep expertise in PyTorch, TensorFlow, or JAX, with a strong portfolio of open-source contributions.
  • Proven track record of publishing in reputable venues (NeurIPS, ICML, ICLR) or leading high-impact patent applications.
  • Strong background in Natural Language Processing (NLP), Transformers, or Reinforcement Learning.
  • Experience with high-performance computing clusters and distributed training systems.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP GPT LLMs Reinforcement Learning Research Distributed Systems

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