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2026 AI Research Scientist

QuantumLeap Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Shape the technological frontier at QuantumLeap Labs! We're pioneering 2026's AI breakthroughs and seeking a visionary Research Scientist to accelerate our quantum-neural fusion projects. Join our elite team working on autonomous systems that will redefine human-machine collaboration. You'll develop next-gen algorithms at the intersection of quantum computing and deep learning, with access to our $50M research facility and NVIDIA H100 clusters.

This role offers unparalleled growth opportunities in a startup environment backed by leading venture capitalists. If you're passionate about building the future of intelligent systems, apply now to join our mission.

Responsibilities

  • Lead research on quantum-enhanced neural networks for 2026 deployment
  • Develop novel AI algorithms achieving human-level reasoning capabilities
  • Collaborate with hardware engineers on quantum-optimized computing architectures
  • Publish breakthrough research in top-tier AI and quantum computing journals
  • Drive the integration of generative AI with real-world autonomous systems
  • Mentor junior researchers and establish new industry benchmarks
  • Secure patents for proprietary 2026-era AI methodologies

Qualifications

  • PhD in Computer Science, Quantum Physics, or related field (or equivalent experience)
  • 5+ years in advanced AI research with quantum computing exposure
  • Expertise in transformer architectures and quantum machine learning frameworks
  • Published work in NeurIPS, ICML, or Nature Quantum Information
  • Proficiency in PyTorch, TensorFlow, and quantum simulators (Qiskit/Cirq)
  • Demonstrated ability to translate theoretical models to scalable implementations
  • Strong background in ethics and alignment for advanced AI systems

Required Skills

AI Research Quantum Computing Machine Learning Neural Networks Python PyTorch TensorFlow Qiskit Quantum Algorithms Deep Learning Research Ethics

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