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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist - 2026 Vision

QuantumLeap Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Join QuantumLeap Innovations at the forefront of 2026's technological revolution! We're seeking an AI Research Scientist to pioneer breakthroughs in generative AI, quantum machine learning, and autonomous systems. Shape the future of human-computer interaction while working with Nobel Prize-winning researchers in our state-of-the-art Silicon Valley lab. Enjoy unparalleled resources, flexible work arrangements, and equity in a company valued at $2B+.

Your Impact: Develop novel AI architectures that will redefine industries by 2026. Collaborate with Fortune 500 partners to implement next-generation solutions. Present findings at top-tier conferences and publish in leading journals.

Responsibilities

  • Design and implement cutting-edge AI models for 2026-era applications
  • Lead research in quantum-enhanced machine learning algorithms
  • Develop ethical AI frameworks for autonomous decision systems
  • Collaborate with product teams to commercialize research breakthroughs
  • Mentor junior researchers and publish 2+ peer-reviewed papers annually
  • Secure $500K+ in annual research grants and partnerships
  • Present findings at NeurIPS, ICML, and World Economic Forum events

Qualifications

  • PhD in Computer Science, AI, or related field with 3+ years industry experience
  • Published research in top-tier AI/ML conferences (NeurIPS, ICML, ICLR)
  • Expertise in transformer architectures, quantum computing, or federated learning
  • Proficiency in PyTorch/TensorFlow and distributed training frameworks
  • Track record of deploying ML models at scale (>10M users)
  • Strong background in AI ethics and responsible AI development
  • Experience securing corporate or government research funding

Required Skills

AI Research Machine Learning Quantum Computing Generative AI PyTorch TensorFlow Research Ethics Distributed Systems

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