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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist - 2026 Vision

NeuroTech Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Shape the future at NeuroTech Labs, where we're pioneering the next wave of artificial intelligence for 2026. We're seeking a visionary AI Research Scientist to develop transformative machine learning solutions that will redefine industries. Join our elite team in San Francisco and contribute to groundbreaking research in neural networks, quantum computing, and human-AI collaboration.

Why NeuroTech Labs? We offer unparalleled resources, a culture of radical innovation, and the opportunity to work alongside Nobel laureates and industry pioneers. Our state-of-the-art facilities include a 10,000 sq ft quantum computing lab and dedicated ethics review boards.

Responsibilities

  • Lead cutting-edge research in next-generation AI architectures for 2026 deployment
  • Design and implement novel deep learning models for complex problem-solving
  • Collaborate with quantum computing teams to develop hybrid AI systems
  • Author peer-reviewed publications and secure patents for breakthrough innovations
  • Mentor junior researchers and publish findings in top-tier journals
  • Develop ethical frameworks for autonomous decision-making systems
  • Partner with product teams to translate research into commercial applications

Qualifications

  • PhD in Computer Science, AI, or related field with 5+ years industry experience
  • Proven expertise in transformer architectures, reinforcement learning, and federated learning
  • Publication record at NeurIPS/ICML/ICLR with >50 citations per paper
  • Proficiency in Python, TensorFlow/PyTorch, and distributed computing frameworks
  • Experience with quantum machine learning algorithms and hybrid systems
  • Demonstrated ability to lead multi-disciplinary research projects
  • Strong background in AI ethics and responsible development practices

Required Skills

Machine Learning Deep Learning Quantum Computing Neural Networks Python TensorFlow PyTorch Research Ethics Reinforcement Learning NLP

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