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AI Research Scientist - 2026 Visionary

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

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer the next wave of AI innovation by 2026. We're seeking an exceptional AI Research Scientist to architect breakthrough solutions in quantum machine learning and neural-symbolic integration. This role offers unparalleled opportunities to shape the future of artificial intelligence while working alongside Nobel laureates and Turing Award winners in our state-of-the-art research facility.

As a cornerstone of our 2026 Vision Initiative, you'll lead projects that redefine human-AI collaboration, develop ethical frameworks for autonomous systems, and publish groundbreaking research in top-tier journals. We offer competitive compensation, flexible work arrangements, and dedicated resources for patent development and conference presentations.

Responsibilities

  • Design and implement novel quantum-inspired algorithms for next-generation AI systems
  • Lead cross-functional research teams in developing neural-symbolic architectures
  • Author high-impact publications for NeurIPS, ICML, and Nature journals
  • Collaborate with product teams to translate research into commercial applications
  • Establish ethical guardrails for autonomous decision-making systems
  • Secure research grants from NSF, DARPA, and private foundations
  • Mentor PhD candidates and postdoctoral researchers

Qualifications

  • PhD in Computer Science, AI, or related field (or equivalent research experience)
  • 5+ years of applied research in machine learning or quantum computing
  • Expertise in PyTorch/TensorFlow and quantum programming frameworks
  • Published record at top-tier AI conferences (NeurIPS, ICML, ICLR)
  • Strong background in computational complexity theory
  • Experience with federated learning and differential privacy
  • Demonstrated ability to secure research funding ($500k+)

Required Skills

Quantum Machine Learning Neural-Symbolic AI PyTorch TensorFlow Quantum Computing Federated Learning Differential Privacy Computational Complexity Theory

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