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AI Research Scientist - 2026 Futures

QuantumLeap Dynamics
Austin
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Shape the future of artificial intelligence at QuantumLeap Dynamics. We're pioneering breakthroughs in AGI development and quantum-ML integration to redefine human-computer interaction by 2026. Join our elite research team in Austin's tech hub, collaborating with Nobel laureates and industry disruptors. You'll develop scalable neural architectures, publish in top-tier journals, and influence global AI policy. Enjoy flexible work arrangements, unlimited learning stipends, and equity in a Series C unicorn. Your work will directly impact the next generation of autonomous systems and ethical AI frameworks.

Responsibilities

  • Design and prototype novel neural network architectures for 2026-era computational constraints
  • Lead cross-functional projects integrating quantum computing with deep learning pipelines
  • Develop ethical AI frameworks for autonomous decision-making systems
  • Author peer-reviewed publications and secure NSF/NIH grants for frontier AI research
  • Mentor junior researchers and contribute to open-source AI initiatives
  • Collaborate with policy teams to shape regulatory frameworks for advanced AI
  • Present findings at international conferences like NeurIPS and ICML 2026

Qualifications

  • PhD in Computer Science, AI, or related field with 3+ years industry experience
  • Published research in top-tier AI/ML conferences (NeurIPS, ICML, ICLR)
  • Expertise in transformer architectures, reinforcement learning, and quantum computing
  • Proficiency in PyTorch/TensorFlow and distributed computing frameworks
  • Strong background in AI ethics and responsible AI development
  • Track record of securing government or corporate research funding
  • Experience deploying production-level ML systems at scale
  • Excellent communication skills for technical and non-technical audiences

Required Skills

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

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