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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

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 generation of AI systems. Our interdisciplinary team is revolutionizing machine learning architectures to solve humanity's greatest challenges by 2026. This role offers unparalleled opportunities to shape the future of artificial intelligence while working in our state-of-the-art San Francisco facility.

We seek visionary researchers who thrive at the intersection of quantum computing and neural networks. You'll collaborate with Nobel laureates and industry disruptors to develop autonomous systems that redefine human-machine interaction. Our competitive compensation package includes equity, unlimited PTO, and comprehensive wellness benefits.

Responsibilities

  • Lead R&D initiatives in quantum-enhanced neural networks and generative AI
  • Design scalable ML architectures for real-world deployment in autonomous systems
  • Publish breakthrough research in top-tier AI journals and conferences
  • Mentor junior researchers and cross-functional engineering teams
  • Develop patent-pending algorithms for next-generation AI safety protocols
  • Collaborate with product teams to translate research into commercial applications

Qualifications

  • PhD in Computer Science, AI, or related field with 3+ years industry experience
  • Expertise in transformer architectures and deep learning frameworks (PyTorch/TensorFlow)
  • Published research in NeurIPS/ICML/ICLR with 50+ citations
  • Proficiency in quantum computing programming (Qiskit/Cirq)
  • Strong background in ethical AI development and bias mitigation
  • Experience with distributed training on GPU/TPU clusters
  • Demonstrated ability to lead complex research projects from conception to deployment

Required Skills

Quantum Computing Deep Learning Neural Networks Machine Learning Python PyTorch TensorFlow AI Ethics Research Leadership

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