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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist - 2026 Vision

Nexus Futura
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join Nexus Futura at the forefront of technological evolution as we shape the future for 2026. We're seeking visionary AI Research Scientists to pioneer breakthroughs in autonomous systems, quantum computing, and ethical AI. Our state-of-the-art lab in San Francisco offers unparalleled resources to transform theoretical concepts into revolutionary applications.

In this role, you'll collaborate with Nobel laureates and industry disruptors to develop next-generation AI frameworks that will redefine industries. We offer competitive compensation, equity packages, and the opportunity to leave an indelible mark on human progress.

Responsibilities

  • Design and implement cutting-edge AI models for predictive analytics and autonomous decision-making
  • Lead cross-functional teams in prototyping quantum-entangled neural networks
  • Develop ethical AI governance frameworks for 2026 regulatory compliance
  • Publish research in top-tier journals and present at global tech summits
  • Partner with policymakers to shape AI legislation for the post-2025 era
  • Drive commercialization of research through strategic industry collaborations

Qualifications

  • PhD in Machine Learning, Computer Science, or related field with 5+ years of R&D experience
  • Expertise in deep learning frameworks (TensorFlow, PyTorch) and quantum computing principles
  • Published record in NeurIPS/ICML with 10+ peer-reviewed papers
  • Proficiency in Python, C++, and quantum programming languages
  • Experience with large-scale distributed computing (Spark, Hadoop)
  • Demonstrated ability to translate complex theories into scalable solutions
  • Strong background in AI ethics and responsible AI development

Required Skills

Machine Learning Quantum Computing Deep Learning Python TensorFlow PyTorch AI Ethics Research Distributed Computing

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