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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
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Join QuantumLeap Innovations at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We seek an AI Research Scientist to architect next-generation machine learning frameworks that will redefine industries. You'll collaborate with Nobel laureates and disruptors in our state-of-the-art San Francisco lab, pushing boundaries in quantum computing integration, ethical AI, and autonomous systems.

Our team operates at the intersection of neuroscience and artificial intelligence, developing breakthroughs in predictive analytics and cognitive computing. This role offers unparalleled opportunities to shape humanity's technological trajectory while working with unparalleled resources and mentorship.

Responsibilities

  • Design and implement novel deep learning architectures for 2026-era applications
  • Lead cross-functional research initiatives in quantum-AI hybrid systems
  • Develop ethical AI frameworks ensuring responsible autonomous decision-making
  • Author high-impact publications for top-tier AI conferences and journals
  • Mentor junior researchers in emerging ML paradigms
  • Secure $2M+ annual research grants from government and industry partners
  • Translate theoretical breakthroughs into scalable production systems

Qualifications

  • PhD in Computer Science, AI, or related field with 5+ years industry experience
  • Published record in NeurIPS/ICML/ICLR with >1000 citations
  • Expertise in transformer architectures, reinforcement learning, and federated learning
  • Proven experience with quantum computing APIs (Qiskit, Cirq)
  • Strong background in ethical AI governance frameworks
  • Proficiency in PyTorch/TensorFlow and distributed computing
  • Track record of shipping production ML systems serving >1M users

Required Skills

Machine Learning Deep Learning Quantum Computing Reinforcement Learning Python PyTorch Research Ethics AI Governance

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