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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist - 2026 Vision

Nexus AI Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
5 Juli 2026
Deadline
5 Jul 2027

Job Description

Join Nexus AI Labs at the forefront of technological evolution as we pioneer Project 2026 – a groundbreaking initiative to redefine human-AI collaboration. We seek visionary AI Research Scientists to architect the next generation of autonomous systems that will transform industries by 2026. Our interdisciplinary team operates at the intersection of quantum computing, neural networks, and ethical AI development in a state-of-the-art Silicon Valley facility.

This role offers unparalleled opportunities to publish in top-tier journals, lead patent development, and shape the future of artificial intelligence. We provide competitive equity packages, unlimited learning stipends, and flexible hybrid work arrangements.

Responsibilities

  • Design and implement cutting-edge machine learning models for autonomous decision-making systems
  • Lead cross-functional research initiatives in quantum-enhanced neural networks
  • Develop ethical AI frameworks aligned with 2026 regulatory standards
  • Collaborate with hardware engineers to optimize AI-quantum computing integration
  • Publish 2-3 peer-reviewed papers annually in top-tier AI conferences
  • Mentor junior researchers and drive innovation through weekly tech talks
  • Secure external funding through NSF and DARPA grant proposals

Qualifications

  • PhD in Computer Science, AI, or related field with 5+ years industry experience
  • Proven expertise in transformer architectures and reinforcement learning
  • Published work at NeurIPS/ICML/ICLR with 500+ citations
  • Strong background in quantum machine learning algorithms
  • Proficiency in PyTorch/TensorFlow and high-performance computing
  • Demonstrated experience building ethical AI governance frameworks
  • Ability to translate complex research into scalable production systems

Required Skills

Machine Learning Quantum Computing Neural Networks PyTorch TensorFlow Ethics in AI Reinforcement Learning Quantum Algorithms Research Publication Grant Writing

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