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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

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

Job Description

Join Nexus AI Labs at the forefront of 2026's technological revolution! We're seeking visionary AI Research Scientists to pioneer next-generation machine learning systems that will redefine industries. In our cutting-edge San Francisco hub, you'll collaborate with Nobel laureates and Turing Award winners to develop autonomous AI architectures, quantum-enhanced neural networks, and ethical frameworks for AGI development. This is your opportunity to shape humanity's digital future while working on projects that will power the 2026 tech landscape.

Responsibilities

  • Design and implement breakthrough AI algorithms for natural language processing, computer vision, and reinforcement learning
  • Lead research initiatives in quantum machine learning and neuromorphic computing
  • Develop ethical AI governance frameworks aligned with 2026 regulatory standards
  • Create scalable AI infrastructure capable of processing exabyte-scale datasets
  • Collaborate with cross-functional teams to integrate research into production systems
  • Publish findings in top-tier journals and present at global AI conferences
  • Mentor junior researchers and contribute to patent development

Qualifications

  • PhD in Computer Science, AI, or related field with 5+ years industry experience
  • Expertise in deep learning frameworks (PyTorch, TensorFlow) and quantum computing platforms
  • Proven track record of research published in NeurIPS, ICML, or Nature AI
  • Strong background in ethical AI development and bias mitigation techniques
  • Experience with distributed computing systems and GPU/TPU optimization
  • Proficiency in Python, C++, and high-performance computing environments
  • Demonstrated ability to translate research into commercial applications

Required Skills

Artificial Intelligence Machine Learning Quantum Computing Deep Learning Python TensorFlow PyTorch Research

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