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AI Research Scientist - 2026 Vision

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

Job Description

Shape the future as a pioneering AI Research Scientist at QuantumLeap Labs. We're assembling a visionary team to develop groundbreaking AI solutions that will define the technological landscape of 2026. Join us in creating autonomous systems, next-gen neural networks, and ethical AI frameworks that push the boundaries of human capability. Our Austin headquarters offers a collaborative, cutting-edge environment where your innovations will directly impact global industries.

This role is perfect for forward-thinking researchers who thrive at the intersection of machine learning, quantum computing, and human-computer interaction. You'll work alongside Nobel laureates and industry disruptors to solve humanity's most complex challenges.

Responsibilities

  • Design and implement novel AI algorithms for 2026-era autonomous systems
  • Lead research in quantum machine learning and neuromorphic computing
  • Develop ethical AI frameworks ensuring responsible deployment of advanced technologies
  • Collaborate with cross-functional teams to prototype next-gen human-AI interfaces
  • Publish breakthrough research in top-tier AI/ML conferences and journals
  • Mentor junior researchers and contribute to patent development
  • Present findings to C-suite executives and government innovation councils

Qualifications

  • PhD in Computer Science, AI, or related field with 5+ years research experience
  • Proven track record of publishing in NeurIPS/ICML/ICLR or equivalent tier conferences
  • Expertise in transformer architectures, reinforcement learning, and distributed ML systems
  • Strong background in quantum computing principles or neuromorphic engineering
  • Experience with large-scale model training (GPT-4+ equivalent scale)
  • Deep understanding of AI ethics, bias mitigation, and responsible AI frameworks
  • Ability to translate complex research into commercial applications

Required Skills

AI Research Machine Learning Quantum Computing Neural Networks Reinforcement Learning Ethics Large Language Models Autonomous Systems

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