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Senior AI Research Scientist - AGI Horizon 2026

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Shape the Future of Intelligence. Nexus Future Labs is at the forefront of the Artificial General Intelligence (AGI) revolution. As we approach the pivotal year of 2026, we are seeking a visionary Senior AI Research Scientist to lead our breakthrough initiatives in scalable AI architectures.

This is not just a job; it is an opportunity to define the standard for artificial intelligence in the coming decade. You will work on the bleeding edge of neural scaling laws, multimodal reasoning, and safety alignment. If you are driven by the challenge of building systems that can reason, learn, and adapt at a human level, we want to hear from you.

Responsibilities

  • Architect Advanced Architectures: Design and implement novel neural network architectures aimed at achieving AGI capabilities by 2026.
  • Scale and Optimize: Lead research and engineering efforts to scale foundational models to unprecedented sizes while maintaining efficiency.
  • Ensure Safety and Alignment: Develop robust safety protocols and alignment techniques to ensure AI systems behave ethically in complex environments.
  • Drive Innovation: Publish high-impact research papers for top-tier conferences (NeurIPS, ICML, ICLR) and contribute to open-source communities.
  • Mentorship: Guide a team of elite researchers and engineers, fostering a culture of technical excellence and innovation.

Qualifications

  • Education: PhD in Computer Science, Mathematics, Statistics, or a related field (or equivalent industry experience).
  • Experience: 5+ years of research experience in Deep Learning, Natural Language Processing (NLP), or Computer Vision.
  • Technical Mastery: Proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (Ray, Spark).
  • Publications: A proven track record of publishing in premier AI conferences or top-tier journals.
  • Problem Solving: Demonstrated ability to solve complex, open-ended problems with innovative solutions.

Required Skills

Python PyTorch TensorFlow NLP Machine Learning Deep Learning Reinforcement Learning Distributed Systems AGI Large Language Models (LLMs)

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