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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

NeuroFuture Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
27 Mei 2026
Deadline
27 Mei 2027

Job Description

Join NeuroFuture Labs at the forefront of 2026's AI revolution. We're pioneering quantum neural networks and autonomous decision systems that will redefine human-machine collaboration. As an AI Research Scientist, you'll work in our Austin-based innovation hub alongside Nobel laureates and Turing Award winners to develop next-generation AI architectures. Our state-of-the-art facility offers unparalleled resources including quantum computing clusters and neuromorphic hardware. We provide comprehensive benefits including equity, relocation assistance, and flexible work arrangements.

Responsibilities

  • Design and implement novel AI algorithms for quantum-enhanced machine learning systems
  • Lead research initiatives in explainable AI and ethical autonomous decision frameworks
  • Collaborate with robotics teams to deploy AI solutions in physical environments
  • Publish breakthrough research in top-tier journals and conferences
  • Mentor junior researchers and cross-functional engineering teams
  • Secure external funding through NSF and DARPA grant applications
  • Develop patents for proprietary AI architectures and optimization techniques

Qualifications

  • PhD in Computer Science, AI, Quantum Computing, or related field
  • 3+ years of experience in neural network architecture design
  • Expertise in PyTorch/TensorFlow and distributed computing frameworks
  • Publication record at NeurIPS/ICML/ICLR or equivalent venues
  • Proficiency in quantum programming languages (Qiskit/Cirq)
  • Experience with neuromorphic computing systems (Loihi/IBM TrueNorth)
  • Strong background in reinforcement learning and multi-agent systems
  • US citizenship or permanent residency required for government contracts

Required Skills

AI Research Machine Learning Quantum Computing Neural Networks PyTorch TensorFlow Reinforcement Learning Quantum Programming Neuromorphic Computing

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