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AI Research Scientist - 2026 Vision

Quantum Leap Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join Quantum Leap Labs at the forefront of technological evolution as we pioneer breakthroughs for the 2026 digital frontier. We seek an AI Research Scientist to architect next-generation neural networks that will redefine human-computer interaction. This role offers unparalleled opportunity to shape the future of artificial intelligence while collaborating with Nobel Prize-winning researchers in our state-of-the-art Austin innovation hub.

Your Impact: Develop patent-pending algorithms for autonomous systems, contribute to quantum-AI hybrid models, and publish groundbreaking research in top-tier journals. Enjoy comprehensive benefits including equity grants, unlimited PTO, and dedicated R&D budget for personal projects.

Responsibilities

  • Design and implement advanced neural architectures for 2026-era applications
  • Lead cross-functional teams in prototyping AI-driven solutions for healthcare and climate tech
  • Author peer-reviewed publications and secure federal research grants
  • Optimize computational efficiency for edge deployment in next-gen IoT ecosystems
  • Mentor PhD candidates in our sponsored research program
  • Collaborate with hardware engineers to co-design AI-accelerated chips
  • Contribute to ethical AI frameworks for 2026 regulatory compliance

Qualifications

  • PhD in Machine Learning, Computer Science, or related field
  • 5+ years experience in production-level AI system development
  • Expertise in transformer architectures and federated learning
  • Published research in NeurIPS/ICML/ICLR with >500 citations
  • Proficiency in PyTorch/TensorFlow and quantum computing frameworks
  • Demonstrated ability to secure NSF/DARPA funding
  • Strong background in explainable AI and bias mitigation techniques

Required Skills

AI Research Machine Learning Neural Networks Quantum Computing Python PyTorch TensorFlow Federated Learning Ethical AI Grant Writing

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