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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist - 2026 Vision

NeuraLabs Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join NeuraLabs Inc. at the forefront of artificial intelligence innovation. As an AI Research Scientist specializing in 2026 technology horizons, you'll architect breakthrough solutions that redefine human-machine interaction. We're seeking visionary minds to develop next-generation AI systems for autonomous decision-making, quantum-optimized neural networks, and ethical AI frameworks. Our state-of-the-art facility in San Francisco offers unparalleled resources to accelerate your research impact.

With competitive compensation, equity packages, and a collaborative culture that values intellectual curiosity, this role presents a unique opportunity to shape the technological landscape of tomorrow.

Responsibilities

  • Design and implement novel AI architectures for 2026-era applications
  • Lead research on quantum-optimized machine learning algorithms
  • Develop ethical AI frameworks aligned with emerging global standards
  • Collaborate with cross-functional teams to commercialize research breakthroughs
  • Publish findings in top-tier AI/ML conferences and journals
  • Secure government and industry research grants
  • Mentor junior researchers and foster innovation culture

Qualifications

  • PhD in Computer Science, AI, or related field (or equivalent experience)
  • 5+ years of applied AI research in industry or academia
  • Expertise in deep learning frameworks (TensorFlow/PyTorch) and quantum computing
  • Publication record at NeurIPS/ICML/ICLR or equivalent
  • Strong background in reinforcement learning and neural architecture search
  • Experience with large-scale distributed computing systems
  • Proficiency in Python, C++, and high-performance computing
  • Demonstrated ability to translate research into practical applications

Required Skills

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

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