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AI Research Scientist (2026 Vision)

QuantumLeap Innovations
Austin
Estimated Salary
USD 180.000 – USD 280.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Join QuantumLeap Innovations at the forefront of 2026's technological revolution. We're seeking visionary AI Research Scientists to pioneer breakthroughs in quantum-computing-assisted machine learning and autonomous systems. Our Austin hub offers unparalleled resources and collaborative freedom to transform theoretical concepts into real-world applications that will redefine industries.

What you'll impact: Lead cross-disciplinary teams to develop next-gen AI frameworks, publish groundbreaking research in top-tier journals, and directly influence product roadmaps that will shape the next decade of human-machine interaction.

Responsibilities

  • Design and implement novel quantum-enhanced ML algorithms for 2026-era computational challenges
  • Lead research initiatives in explainable AI and ethical autonomous decision-making systems
  • Collaborate with hardware teams to co-develop quantum-AI hybrid architectures
  • Publish high-impact research and secure patents in emerging AI domains
  • Mentor junior researchers and foster a culture of scientific excellence
  • Translate theoretical breakthroughs into scalable production-ready solutions

Qualifications

  • PhD in Computer Science, Quantum Computing, or related field (or equivalent research experience)
  • 5+ years of applied ML research with peer-reviewed publications at NeurIPS/ICML
  • Expertise in quantum machine learning frameworks (Qiskit, Cirq) and classical deep learning
  • Proven track record of deploying AI systems in production environments
  • Strong background in ethical AI frameworks and bias mitigation techniques
  • Experience with large-scale distributed computing clusters
  • Exceptional problem-solving skills for unstructured technical challenges

Required Skills

Quantum Computing Machine Learning Deep Learning Python TensorFlow PyTorch Qiskit AI Ethics Research Autonomous Systems

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