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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist - 2026 Vision

Nexus Innovations
San Francisco
Estimated Salary
USD 150.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join Nexus Innovations at the forefront of technological evolution as we pioneer solutions that will redefine 2026 and beyond. We're seeking visionary AI Research Scientists to architect next-generation machine learning systems that will shape human-machine interaction for the coming decade. This role offers unparalleled opportunities to work with Fortune 500 partners on transformative projects spanning quantum computing integration, ethical AI frameworks, and autonomous system optimization.

Our dynamic R&D environment combines cutting-edge resources with collaborative innovation spaces, where your expertise will directly influence product roadmaps for 2026 and beyond. Enjoy competitive equity packages, flexible work arrangements, and access to exclusive industry summits.

Responsibilities

  • Architect and implement novel neural network architectures for 2026-era applications
  • Lead cross-functional research initiatives in quantum-AI hybrid systems
  • Develop ethical AI governance frameworks for global deployment
  • Author breakthrough publications in top-tier AI conferences
  • Mentor junior researchers in emerging ML paradigms
  • Collaborate with product teams to commercialize research outcomes
  • Secure competitive research grants and industry partnerships

Qualifications

  • PhD in Computer Science, AI, or related field with 3+ years industry experience
  • Published research in NeurIPS/ICML/ICLR with >100 citations
  • Expertise in transformer architectures and quantum machine learning
  • Proven track record of deploying production-scale ML systems
  • Familiarity with ethical AI frameworks (EU AI Act, NIST RMF)
  • Strong Python/C++ proficiency with PyTorch/TensorFlow mastery
  • Experience with distributed computing frameworks (Ray, Dask)

Required Skills

Machine Learning Deep Learning Neural Networks PyTorch TensorFlow Quantum Computing AI Ethics Research Python C++ Distributed Systems

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