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AI Research Scientist (2026 Vision)

QuantumLeap Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
21 Mei 2026
Deadline
21 Mei 2027

Job Description

Shape the future with us at QuantumLeap Labs! We're pioneering breakthrough AI solutions for 2026 and beyond, seeking visionary Research Scientists to redefine human-machine collaboration. Join our award-winning team at the intersection of quantum computing, neural networks, and ethical AI development. You'll work in our state-of-the-art Austin R&D hub alongside Nobel laureates and industry disruptors, building systems that will power the next decade of technological evolution.

We offer unparalleled resources, flexible hybrid work arrangements, and a culture where curiosity fuels innovation. This isn't just a jobβ€”it's your chance to solve humanity's most complex challenges while accelerating your career in one of the world's most dynamic tech ecosystems.

Responsibilities

  • Design and implement novel AI architectures for 2026-era applications
  • Lead research initiatives in quantum-enhanced machine learning paradigms
  • Develop ethical AI governance frameworks for next-gen autonomous systems
  • Collaborate with cross-functional teams to prototype commercializable solutions
  • Publish breakthrough research in top-tier AI/ML conferences
  • Secure federal and private research grants for frontier AI projects
  • Mentor PhD candidates and junior researchers in emerging AI domains

Qualifications

  • PhD in Computer Science, AI, Quantum Computing, or related field
  • 5+ years of applied research experience in deep learning/NLP
  • Published work at NeurIPS/ICML/ICLR or equivalent tier conferences
  • Expertise in Python, TensorFlow/PyTorch, and distributed computing
  • Strong background in quantum machine learning or neuromorphic computing
  • Demonstrated success in translating research to production systems
  • Experience with AI ethics frameworks and responsible AI development

Required Skills

Quantum Computing Neural Networks Deep Learning NLP TensorFlow PyTorch Quantum Machine Learning AI Ethics

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