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AI Research Scientist - 2026 Vision

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

Job Description

Join Nexus Labs at the forefront of 2026's technological revolution as we pioneer next-generation AI systems that will redefine human-machine interaction. We're seeking a visionary AI Research Scientist to develop breakthrough models in generative AI, quantum computing integration, and ethical AI frameworks. You'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art research facility overlooking the Bay, with unparalleled resources including quantum processors and exascale computing clusters.

Our team operates on a 4-day work week with unlimited PTO, and offers comprehensive benefits including equity, wellness stipends, and sabbatical programs. This role is perfect for those who thrive at the intersection of theoretical innovation and practical application, with opportunities to publish in top-tier journals and patent transformative technologies.

Responsibilities

  • Design and implement novel AI architectures for 2026-era applications in autonomous systems and human-AI collaboration
  • Lead research initiatives in quantum machine learning and neuromorphic computing
  • Develop ethical AI frameworks ensuring alignment with 2026 regulatory standards
  • Collaborate with cross-functional teams to translate research into production-ready solutions
  • Publish findings in top-tier journals and present at premier conferences like NeurIPS and ICML
  • Mentor junior researchers and contribute to open-source initiatives

Qualifications

  • PhD in Computer Science, Mathematics, or related field with 3+ years of research experience
  • Expertise in deep learning frameworks (PyTorch, TensorFlow) and distributed computing
  • Published work in AI ethics, quantum algorithms, or generative modeling
  • Strong programming skills in Python, C++, and quantum programming languages
  • Experience with large-scale model training and MLOps pipelines
  • Demonstrated ability to secure research grants or industry partnerships
  • Passion for shaping the ethical future of AI by 2026

Required Skills

AI Research Quantum Computing Machine Learning Deep Learning Python TensorFlow PyTorch Ethics in AI Neuromorphic Computing Generative AI

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