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2026 AI Research Scientist

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

Job Description

Join QuantumLeap Labs at the forefront of 2026's AI revolution! We're seeking visionary Research Scientists to develop transformative quantum machine learning solutions that will redefine industries by 2026. Our Austin-based innovation hub offers unparalleled resources to pioneer next-gen AI models while collaborating with Nobel laureates and industry disruptors. If you're passionate about shaping the future of artificial intelligence, this is your calling.

What You'll Experience:
• State-of-the-art quantum computing infrastructure
• Flexible hybrid work policy with global collaboration opportunities
• Annual innovation budget of $50k for experimental projects
• Comprehensive benefits including equity and wellness stipend

Responsibilities

  • Design and implement novel quantum neural network architectures for 2026-era applications
  • Lead cross-functional teams in developing AI solutions for healthcare, climate modeling, and autonomous systems
  • Publish breakthrough research in top-tier journals and conferences (NeurIPS, ICML, Nature)
  • Collaborate with product teams to commercialize 5+ AI prototypes within 18 months
  • Mentor junior researchers and establish new industry benchmarks for ethical AI development
  • Secure $2M+ in annual research grants through NIH, NSF, and industry partnerships

Qualifications

  • PhD in Computer Science, Quantum Physics, or related field with 5+ years industry experience
  • Proven track record of publishing in top-tier AI/quantum journals (h-index >20)
  • Expertise in quantum machine learning frameworks (Qiskit, Cirq, PennyLane)
  • Proficiency in high-performance computing environments (CUDA, Kubernetes, HPC clusters)
  • Strong background in ethical AI development and bias mitigation strategies
  • Experience securing federal research grants and managing multi-year projects
  • Exceptional problem-solving skills with demonstrable impact on commercial AI products

Required Skills

Quantum Computing Machine Learning Neural Networks Python TensorFlow PyTorch Research Leadership Grant Writing

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