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Principal AI Research Scientist - Future Tech (2026)

Nexus Horizons AI
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

We are on the precipice of a technological singularity. Nexus Horizons AI is seeking a visionary Principal AI Research Scientist to help define the landscape of technology for the year 2026 and beyond.

In this role, you will lead our advanced research initiatives into Artificial General Intelligence (AGI) and the convergence of neural networks with quantum computing. You won't just be writing code; you will be architecting the cognitive infrastructure of the future. If you are passionate about solving humanity's most complex problems and building systems that exceed human capability, we want to meet you.

Why Join Us?

  • Work with cutting-edge hardware and software stacks.
  • Competitive equity package and performance bonuses.
  • Flexible remote-first policy with HQ in San Francisco.

Responsibilities

  • Lead the research and development of next-generation Artificial General Intelligence (AGI) architectures.
  • Define the technical roadmap for integrating Quantum Neural Networks into classical AI workflows.
  • Publish high-impact research papers in leading venues (NeurIPS, ICML, ICRA) and present at global conferences.
  • Collaborate with cross-functional teams including hardware engineers and data scientists to prototype scalable solutions.
  • Mentor and guide a team of top-tier researchers and PhD candidates.
  • Translate theoretical research into production-ready algorithms and models.

Qualifications

  • PhD in Computer Science, Mathematics, Physics, or a related quantitative field.
  • 5+ years of professional experience in machine learning research or a related role.
  • Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks.
  • Strong background in Deep Learning, Reinforcement Learning, or Natural Language Processing.
  • Proven track record of leading major research initiatives from conception to publication.
  • Exceptional problem-solving skills and the ability to work in a fast-paced, high-uncertainty environment.

Required Skills

Artificial Intelligence Machine Learning Deep Learning Python PyTorch Research AGI Quantum Computing Neural Networks Distributed Systems

Ready to Take This Challenge?

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