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AI Research Scientist 2026

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
5 Juli 2026
Deadline
5 Jul 2027

Job Description

Join Nexus Labs at the forefront of 2026's technological revolution! We're seeking visionary AI Research Scientists to pioneer next-generation neural architectures and autonomous systems. Our cross-disciplinary teams work in state-of-the-art labs where quantum computing meets biological intelligence. You'll collaborate with Nobel laureates and disrupt industry standards through breakthrough research in generative AI, neural-symbolic integration, and ethical AI frameworks.

As part of our 2026 cohort, you'll access unprecedented resources including our 100-qubit quantum cloud, petabyte-scale synthetic data generators, and exclusive partnerships with NASA and MIT. This isn't just a job – it's your chance to shape the future of artificial consciousness.

Responsibilities

  • Design and implement novel deep learning architectures for multi-modal perception systems
  • Lead research projects in ethical AI alignment and explainable machine learning
  • Develop proprietary algorithms for real-time cognitive simulation and AGI precursor systems
  • Collaborate with quantum computing teams to optimize hybrid neural-quantum models
  • Publish breakthrough research in Nature AI and top-tier conference proceedings
  • Mentor junior researchers in our 2026 Fellowship Program

Qualifications

  • PhD in Computer Science, AI, or related field with 3+ years of post-graduate research
  • Published record in top-tier AI conferences (NeurIPS, ICML, ICLR) with >50 citations
  • Expertise in transformer architectures, diffusion models, and neural-symbolic systems
  • Proficiency with PyTorch 3.0+, TensorFlow Quantum, and quantum programming languages
  • Demonstrated experience in large-scale distributed computing (1000+ GPU clusters)
  • Deep understanding of AI ethics frameworks and responsible AI development
  • Portfolio of open-source contributions with >5,000 GitHub stars

Required Skills

AI Research Deep Learning Quantum Computing Neural Networks Machine Learning Ethics PyTorch TensorFlow Large Language Models Generative AI Quantum Algorithms

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