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AI Research Scientist (2026 Vision)

QuantumLeap Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Join QuantumLeap Labs at the forefront of 2026's technological revolution! We're pioneering next-generation AI systems that will redefine human-machine interaction. As an AI Research Scientist, you'll architect breakthrough models in quantum-inspired neural networks and generative AI, collaborating with Nobel laureates and Silicon Valley visionaries. Our state-of-the-art lab offers unparalleled resources to transform theoretical concepts into real-world applications that will shape the next decade.

Located in San Francisco's vibrant tech ecosystem, we provide competitive compensation, equity packages, and unlimited learning opportunities. Shape the future of artificial intelligence and leave your mark on 2026's technological landscape.

Responsibilities

  • Design and implement quantum-enhanced machine learning models for next-generation AI systems
  • Lead research on generative AI architectures capable of autonomous innovation
  • Develop ethical AI frameworks aligned with 2026's regulatory landscape
  • Collaborate with cross-disciplinary teams to prototype AI-powered solutions
  • Publish breakthrough research in top-tier AI and quantum computing journals
  • Mentor junior researchers and drive technical excellence across projects

Qualifications

  • PhD in Computer Science, AI, Quantum Computing, or related field
  • 5+ years of experience in advanced ML/DL research with peer-reviewed publications
  • Expertise in transformer architectures and quantum machine learning frameworks
  • Proficiency in Python, TensorFlow/PyTorch, and quantum programming languages
  • Track record of deploying large-scale AI systems in production environments
  • Deep understanding of AI ethics and responsible AI development practices

Required Skills

Artificial Intelligence Machine Learning Quantum Computing Generative AI Neural Networks Python TensorFlow PyTorch Research Ethics

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