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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist - 2026 Innovations

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

Job Description

Shape the future of artificial intelligence at QuantumLeap Labs. We're pioneering breakthroughs in autonomous systems and quantum computing for 2026 and beyond. Join our elite research team to develop next-gen AI solutions that will revolutionize industries worldwide. Our state-of-the-art facility in San Francisco offers unparalleled resources and collaboration opportunities.

We seek visionary researchers to lead projects in generative AI, neural architecture optimization, and ethical AI frameworks. This role includes publishing in top-tier journals, mentoring junior scientists, and translating theoretical models into production-ready applications.

Responsibilities

  • Design and implement novel AI algorithms for autonomous decision-making systems
  • Lead research initiatives in quantum machine learning applications
  • Develop ethical AI frameworks aligned with 2026 regulatory standards
  • Collaborate with engineering teams to prototype AI solutions
  • Publish research in peer-reviewed journals and conferences
  • Mentor junior researchers and foster innovation culture
  • Secure external funding through NSF and DARPA proposals

Qualifications

  • PhD in Computer Science, AI, or related field (or equivalent experience)
  • 5+ years of applied AI research with publications in NeurIPS/ICML
  • Expertise in deep learning frameworks (PyTorch/TensorFlow)
  • Strong background in quantum computing fundamentals
  • Proficiency in distributed computing and cloud architecture
  • Experience with AI ethics and bias mitigation frameworks
  • Track record of translating research into commercial products
  • Excellent communication and leadership skills

Required Skills

Artificial Intelligence Machine Learning Quantum Computing Deep Learning Neural Networks AI Ethics Research Python TensorFlow PyTorch Distributed Systems

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