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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist - 2026 Visionary

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

Join Nexus Labs at the forefront of technological evolution. We're pioneering the next wave of AI systems that will redefine industries by 2026. Our multidisciplinary team develops autonomous reasoning frameworks, ethical AI governance protocols, and quantum-entangled neural networks. This role offers unparalleled opportunity to shape humanity's digital future while working in our state-of-the-art research facility overlooking the San Francisco Bay.

We offer competitive equity packages, unlimited learning stipends, and flexible hybrid work arrangements. Our culture celebrates intellectual curiosity and cross-disciplinary collaboration – perfect for visionaries who thrive at the intersection of theoretical breakthroughs and practical implementation.

Responsibilities

  • Design and implement novel AI architectures for next-generation autonomous systems
  • Lead cross-functional research initiatives in quantum machine learning and neuromorphic computing
  • Develop ethical AI governance frameworks aligned with 2026 regulatory projections
  • Publish breakthrough research in top-tier AI/ML conferences and journals
  • Collaborate with product teams to translate research into scalable commercial solutions
  • Mentor junior researchers and foster innovation through internal tech talks

Qualifications

  • PhD in Computer Science, AI, or related field with 3+ years industry experience
  • Proven expertise in deep learning architectures and distributed ML systems
  • Publication record at NeurIPS/ICML/ICLR or equivalent tier conferences
  • Strong programming skills in Python/C++ with TensorFlow/PyTorch proficiency
  • Experience with quantum computing frameworks (Qiskit, Cirq) preferred
  • Demonstrated ability to translate complex research into practical applications

Required Skills

Machine Learning Deep Learning Quantum Computing Neural Networks Python TensorFlow PyTorch Research Ethics Distributed Systems

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