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2026 AI Research Scientist

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juni 2026
Deadline
1 Jun 2027

Job Description

Join Nexus Labs at the forefront of 2026's AI revolution. We're seeking a visionary AI Research Scientist to architect breakthrough neural architectures and pioneer next-generation machine learning paradigms. This role sits at the intersection of quantum computing, neuromorphic engineering, and generative AI, where you'll redefine what's possible in artificial intelligence.

In this cutting-edge position, you'll collaborate with Nobel laureates and industry pioneers to develop novel algorithms that solve humanity's most complex challenges. Our state-of-the-art quantum-AI hybrid lab offers unprecedented computational resources and an environment where innovation isn't just encouraged—it's mandated.

Responsibilities

  • Design and implement quantum-resistant neural networks for 2026-scale data processing
  • Lead cross-disciplinary research in generative adversarial networks and diffusion models
  • Pioneer neuromorphic computing applications for energy-efficient AI systems
  • Develop ethical AI frameworks aligned with 2026 global regulatory standards
  • Author breakthrough publications in Nature/Science and top-tier AI conferences
  • Mentor PhD researchers and incubate moonshot AI projects

Qualifications

  • PhD in Computer Science, Quantum Physics, or related field with 5+ years industry experience
  • Published research in NeurIPS/ICML/ICLR with >1000 citations
  • Expertise in PyTorch/TensorFlow and quantum computing frameworks (Qiskit/Cirq)
  • Proven track record of developing production-grade LLMs at scale
  • Deep understanding of quantum machine learning algorithms
  • Experience with neuromorphic hardware (Intel Loihi/IBM TrueNorth)
  • Strong background in AI ethics and responsible AI development

Required Skills

Quantum Computing Neural Networks Generative AI Machine Learning PyTorch Qiskit Neuromorphic Engineering LLM Development AI Ethics

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