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AI Research Scientist - 2026 Vision Lab

QuantumLeap Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join our pioneering 2026 Vision Lab at QuantumLeap Dynamics, where we're architecting the next frontier of artificial intelligence. We seek an AI Research Scientist to develop breakthrough neural architectures and quantum-inspired algorithms that will define technological capabilities in 2026 and beyond. This role offers unparalleled access to our $50M R&D fund, NVIDIA DGX SuperPOD infrastructure, and cross-industry partnerships with NASA, Stanford, and Tesla. Shape the future of AGI, autonomous systems, and human-machine symbiosis in a culture that celebrates audacious innovation.

Responsibilities

  • Design and implement novel deep learning frameworks for next-gen autonomous decision-making systems
  • Lead quantum machine learning research projects with 5-year horizon impact
  • Collaborate with robotics teams to embed advanced perception algorithms in physical AI agents
  • Publish findings in top-tier journals (Nature AI, NeurIPS, ICML) and present at global conferences
  • Mentor PhD researchers in our 2026 Fellowship Program
  • Architect ethical AI governance frameworks for 2026 regulatory landscapes
  • Secure $2M+ in DARPA/NASA research grants for 2026 technology roadmap

Qualifications

  • PhD in Computer Science, AI, or Quantum Computing with 3+ years industry R&D
  • Published 15+ peer-reviewed papers on transformer architectures or quantum ML
  • Expertise in PyTorch/TensorFlow with 100M+ parameter model deployment
  • Proven experience with neuromorphic computing (Intel Loihi, IBM TrueNorth)
  • Strong background in causal inference and explainable AI (XAI)
  • Proficiency in quantum programming (Qiskit, Cirq) and error correction protocols
  • Track record of translating research into commercial AI products

Required Skills

Deep Learning Quantum Computing Neural Architecture Search Autonomous Systems Causal Inference PyTorch Quantum Machine Learning Explainable AI Neuromorphic Computing

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