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AI Research Scientist (2026)

QuantumLeap Labs
San Francisco
Estimated Salary
USD 190.000 – USD 280.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join QuantumLeap Labs at the forefront of 2026's technological revolution! We're pioneering next-generation AI systems that will redefine human-machine collaboration. As an AI Research Scientist, you'll architect breakthrough algorithms in quantum-inspired neural networks and autonomous decision frameworks. Our cutting-edge lab in San Francisco offers unparalleled resources to transform theoretical concepts into scalable solutions impacting global industries.

This role demands visionary thinkers who thrive at the intersection of mathematics, computer science, and futurism. You'll collaborate with Nobel laureates and disrupt industry paradigms while enjoying unparalleled benefits including equity, unlimited PTO, and a $50,000 annual innovation budget.

Responsibilities

  • Design and implement novel AI architectures leveraging quantum computing principles for 2026-era applications
  • Lead cross-functional research teams in developing autonomous decision systems with ethical guardrails
  • Publish breakthrough findings in Nature/Science journals and present at top-tier conferences like NeurIPS 2026
  • Architect federated learning frameworks for secure multi-party AI collaboration
  • Mentor PhD researchers and patent revolutionary AI methodologies
  • Partner with product teams to commercialize research into billion-dollar solutions

Qualifications

  • PhD in Machine Learning, Quantum Computing, or Computational Physics with 3+ years industry R&D
  • Expertise in quantum-inspired neural networks and tensor-based optimization
  • Published in top-tier AI/quantum journals with 10+ citations per paper
  • Proficiency in Python, TensorFlow Quantum, and Cirq frameworks
  • Experience with large-scale distributed training on quantum-classical hybrids
  • Demonstrated ability to translate theoretical models into production systems
  • Deep understanding of ethical AI frameworks and regulatory landscapes

Required Skills

AI Research Quantum Computing Neural Networks Machine Learning TensorFlow Quantum Cirq Python Federated Learning Ethics in AI Computational Physics

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