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AI Research Scientist - 2026 Vision Lab

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

Job Description

Join Nexus Innovations' pioneering 2026 Vision Lab, where we're architecting the future of artificial intelligence. We seek an AI Research Scientist to develop breakthrough solutions for autonomous systems, quantum-computing-optimized neural networks, and ethical AI frameworks. Collaborate with Nobel laureates and industry disruptors in our state-of-the-art facility overlooking the Bay Bridge.

Our team operates at the intersection of neuroscience and machine learning, pushing boundaries in explainable AI and cross-modal learning paradigms. You'll lead projects that will redefine how humanity interacts with intelligent systems by 2026.

Responsibilities

  • Design and implement novel AI architectures for next-generation autonomous decision-making systems
  • Lead research in quantum-enhanced machine learning algorithms and hybrid quantum-classical models
  • Develop ethical AI governance frameworks for global regulatory compliance
  • Collaborate with neuroscientists to create brain-inspired learning systems
  • Publish groundbreaking research in top-tier journals and conferences
  • Mentor PhD researchers and cross-functional engineering teams
  • Drive open-source initiatives that accelerate the AI ecosystem

Qualifications

  • PhD in Computer Science, AI, or related field with 5+ years of research experience
  • Expertise in deep learning frameworks (PyTorch/TensorFlow) and quantum computing APIs
  • Proven track record of publishing at NeurIPS, ICML, or equivalent tier-1 conferences
  • Mastery of distributed training on GPU/TPU clusters and high-performance computing
  • Strong background in reinforcement learning and multi-agent systems
  • Experience with AI ethics frameworks and responsible AI deployment
  • Portfolio of open-source contributions with 1k+ GitHub stars

Required Skills

AI Research Deep Learning Quantum Computing Neural Networks Reinforcement Learning Ethics PyTorch TensorFlow Distributed Systems

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