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2026 AI Research Scientist

QuantumLeap Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join QuantumLeap Labs at the forefront of 2026's AI revolution. We're pioneering breakthroughs in generative AI, quantum computing integration, and autonomous systems. As a 2026 AI Research Scientist, you'll shape the future of artificial intelligence while working with world-class researchers in our state-of-the-art San Francisco facility. Our culture thrives on innovation, collaboration, and pushing the boundaries of what's possible.

We offer competitive compensation, comprehensive benefits, and unparalleled opportunities to work on projects that will define the next decade of technology. If you're passionate about creating AI solutions that impact billions, this is your moment.

Responsibilities

  • Lead research initiatives in next-generation AI models for 2026 technological landscape
  • Design and implement novel neural architectures for quantum-classical hybrid systems
  • Develop ethical frameworks for autonomous AI decision-making processes
  • Collaborate with cross-functional teams to prototype and validate AI solutions
  • Publish breakthrough research in top-tier AI conferences and journals
  • Mentor junior researchers and foster innovation through internal hackathons
  • Secure patents and intellectual property for proprietary AI methodologies

Qualifications

  • PhD in Computer Science, AI, Quantum Computing, or related field (Master's with exceptional experience considered)
  • 5+ years of hands-on experience in cutting-edge AI research and development
  • Expertise in transformer architectures, reinforcement learning, and generative models
  • Proficiency in Python, TensorFlow/PyTorch, and quantum programming frameworks
  • Published research at NeurIPS, ICML, or equivalent top-tier conferences
  • Strong background in AI ethics, bias mitigation, and responsible AI development
  • Experience with large-scale distributed computing and cloud platforms (AWS/GCP)

Required Skills

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

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