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AI Research Scientist - 2026 Vision

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

Job Description

Join QuantumLeap Dynamics at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We're seeking an exceptional AI Research Scientist to shape the future of autonomous systems, quantum computing integration, and ethical AI frameworks. This role offers unparalleled opportunities to work with Nobel laureates and disrupt industries through cutting-edge research.

Why QuantumLeap? Our state-of-the-art incubator in San Francisco's tech corridor provides access to 5G-enabled labs, quantum processors, and a $500M R&D budget. We offer competitive equity packages, flexible hybrid work, and sabbaticals for breakthrough research.

Responsibilities

  • Lead multidisciplinary R&D initiatives for next-gen AI systems with 2026 deployment targets
  • Publish breakthrough research in top-tier journals (Nature, Science, NeurIPS)
  • Develop ethical AI governance frameworks for autonomous decision-making systems
  • Collaborate with quantum computing teams to hybridize classical and quantum algorithms
  • Secure $2M+ in annual research grants from DARPA, NSF, and industry partners
  • Mentor PhD fellows and patent at least 3 novel AI methodologies annually

Qualifications

  • PhD in Machine Learning, Computer Science, or Quantum Physics (or equivalent experience)
  • 5+ years developing production AI systems with measurable business impact
  • Published record in top-tier AI/ML conferences (NeurIPS, ICML, ICLR)
  • Expertise in transformer architectures, reinforcement learning, and quantum algorithms
  • Strong background in AI ethics and responsible AI frameworks
  • Proven ability to secure government and corporate research funding
  • Proficiency in PyTorch, TensorFlow, and quantum programming languages (Qiskit, Cirq)

Required Skills

AI Research Machine Learning Quantum Computing Ethics Reinforcement Learning Transformers Research Funding PyTorch TensorFlow

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