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AI Research Scientist - Future Tech

Nexus Labs
San Francisco
Estimated Salary
USD 190.000 – USD 280.000
Live Update
21 Mei 2026
Deadline
21 Mei 2027

Job Description

Join Nexus Labs at the forefront of technological evolution to architect solutions for 2026 and beyond. We're seeking visionary AI Research Scientists to pioneer next-generation machine learning frameworks, quantum computing interfaces, and autonomous systems that will redefine industries.

In our state-of-the-art San Francisco lab, you'll collaborate with Nobel laureates and Turing Award winners to transform theoretical breakthroughs into scalable innovations. This role offers unparalleled resources for experimental research and the opportunity to publish groundbreaking work in top-tier journals.

Responsibilities

  • Design and implement novel deep learning architectures for quantum-entangled neural networks
  • Lead cross-functional teams to prototype AGI safety protocols and ethical AI frameworks
  • Develop predictive models for climate change mitigation using exascale computing resources
  • Author peer-reviewed publications on post-silicon computing paradigms
  • Secure federal and private funding for speculative research initiatives
  • Mentor PhD researchers on 6G telecommunications and neuromorphic engineering

Qualifications

  • PhD in Computer Science, Quantum Physics, or related field with 5+ years research experience
  • Published record in Nature/Science or top-tier ML conferences (NeurIPS, ICML)
  • Expertise in tensor networks, quantum machine learning, and federated learning
  • Proficiency in Python, TensorFlow/PyTorch, and quantum computing frameworks (Qiskit, Cirq)
  • Demonstrated ability to secure >$2M in research grants
  • Experience with neuromorphic hardware (Loihi, TrueNorth) and photonic computing

Required Skills

Machine Learning Quantum Computing AI Ethics Exascale Computing Neuromorphic Engineering Tensor Networks Federated Learning Quantum Machine Learning 6G Communications Research Grant Writing

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