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AI Research Scientist 2026

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

Job Description

Shape the future of artificial intelligence at QuantumLeap Innovations! We're seeking visionary AI Research Scientists to develop breakthrough solutions for 2026 and beyond. Join our elite team at our Austin R&D center where you'll collaborate with Nobel laureates and industry pioneers to create next-generation AI systems that redefine human-machine interaction.

Our state-of-the-art facility offers unparalleled resources including quantum computing clusters and petabyte-scale datasets. You'll lead projects in generative AI, neuromorphic computing, and ethical AI frameworks while publishing in top-tier journals and contributing to open-source initiatives.

Responsibilities

  • Design and implement novel AI architectures for 2026-era applications
  • Lead cross-functional research teams in quantum-AI integration projects
  • Develop ethical frameworks for autonomous decision-making systems
  • Secure $5M+ in government and industry research grants
  • Author 3+ peer-reviewed publications annually in Nature/Science journals
  • Mentor PhD candidates in emerging AI paradigms
  • Collaborate with hardware teams to optimize AI-processor co-design
  • Present breakthrough findings at global AI summits

Qualifications

  • PhD in Computer Science, AI, or Quantum Computing (or equivalent experience)
  • 5+ years of published research in top-tier AI/ML conferences
  • Expertise in transformer architectures, reinforcement learning, and federated learning
  • Proven track record of securing government research grants
  • Strong background in AI ethics and bias mitigation
  • Proficiency in PyTorch/TensorFlow and quantum programming frameworks
  • Experience leading research teams of 10+ scientists
  • Patents in AI or quantum computing preferred

Required Skills

Artificial Intelligence Machine Learning Quantum Computing Research Deep Learning Ethics Transformers Reinforcement Learning PyTorch TensorFlow Grant Writing

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