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AI Research Scientist - 2026 Visionary Program

QuantumLeap Labs
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
21 Mei 2026
Deadline
21 Mei 2027

Job Description

Join QuantumLeap Labs at the forefront of innovation as we pioneer breakthrough technologies for 2026. We're seeking visionary AI Research Scientists to architect the next generation of intelligent systems that will redefine industries. Our state-of-the-art facility in San Francisco offers unparalleled resources to transform theoretical concepts into reality.

In this pivotal role, you'll collaborate with Nobel laureates and industry disruptors to develop quantum-optimized neural networks, sustainable AI frameworks, and autonomous systems that will shape our collective future. We offer competitive equity packages, flexible work arrangements, and unparalleled opportunities to publish groundbreaking research.

Responsibilities

  • Lead R&D initiatives in quantum machine learning and neuromorphic computing
  • Design and implement scalable AI architectures for 2026 deployment
  • Publish 3+ high-impact papers in top-tier AI/ML journals annually
  • Mentor cross-functional teams of engineers and researchers
  • Secure $2M+ in research grants from NSF and DARPA
  • Develop ethical AI frameworks aligned with 2026 regulatory standards
  • Collaborate with MIT and Stanford on cutting-edge research projects

Qualifications

  • PhD in AI, Machine Learning, or Computational Physics with 5+ years industry experience
  • Published record in NeurIPS/ICML/ICLR with 50+ citations
  • Expertise in quantum computing frameworks (Qiskit, Cirq) and neuromorphic hardware
  • Proficiency in Python, TensorFlow, and PyTorch with large-scale deployment
  • Experience securing federal research grants and managing multi-million dollar budgets
  • Demonstrated ability to translate complex theories into production systems
  • Deep understanding of 2026 AI ethics frameworks and regulatory landscapes

Required Skills

Machine Learning Quantum Computing Neuromorphic Engineering TensorFlow PyTorch Research Data Science Ethics

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