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AI Research Scientist - 2026 Vision Lab

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

Job Description

Join our pioneering 2026 Vision Lab at Nexus Dynamics, where we're redefining the boundaries of artificial intelligence. As an AI Research Scientist, you'll architect next-generation models that will shape the technological landscape of tomorrow. We offer a dynamic, collaborative environment with unlimited resources to transform theoretical concepts into groundbreaking innovations.

What you'll achieve: Lead cutting-edge research in neural networks, quantum computing interfaces, and human-AI symbiosis. Publish breakthrough papers at top-tier conferences and contribute to open-source frameworks that will power the AI revolution of 2026.

Responsibilities

  • Design and implement novel AI architectures for 2026-era applications
  • Lead cross-functional teams in developing quantum-classical hybrid systems
  • Pioneer research in explainable AI and ethical algorithmic frameworks
  • Collaborate with neuroscientists to create brain-inspired computing models
  • Drive innovation in generative adversarial networks and multimodal learning
  • Secure patents for proprietary AI methodologies and processes
  • Mentor junior researchers and publish 2+ peer-reviewed papers annually

Qualifications

  • PhD in Computer Science, Machine Learning, or related field (or equivalent experience)
  • 5+ years of experience in deep learning research with TensorFlow/PyTorch
  • Proven track record of publishing at NeurIPS/ICML/ICLR conferences
  • Expertise in quantum machine learning algorithms and implementations
  • Strong background in computational neuroscience and cognitive architectures
  • Proficiency with high-performance computing clusters (HPC/GPU)
  • Demonstrated ability to translate research into production-grade systems
  • Portfolio of 3+ open-source AI projects with 1K+ GitHub stars

Required Skills

Machine Learning Deep Learning Quantum Computing Neural Networks TensorFlow PyTorch Research AI Ethics Generative AI HPC

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