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AI Research Scientist (2026)

QuantumLeap Systems
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join QuantumLeap Systems at the forefront of technological innovation as we pioneer the next wave of AI-driven solutions. We're seeking an exceptional AI Research Scientist to architect breakthrough systems that will define the digital landscape of 2026. In this pivotal role, you'll collaborate with Nobel laureates and industry disruptors to transform theoretical concepts into scalable, real-world applications. Our Austin hub offers state-of-the-art labs, flexible work arrangements, and unparalleled opportunities to shape humanity's technological future.

Responsibilities

  • Lead advanced research in generative AI, quantum computing integration, and neural architecture optimization
  • Develop proprietary algorithms for autonomous decision-making systems with 99.9% accuracy thresholds
  • Author peer-reviewed publications in top-tier journals (Nature, Science, NeurIPS)
  • Prototype and deploy ML pipelines processing petabytes of real-time data
  • Secure $5M+ in government/industry grants for 2026-2027 research initiatives
  • Mentor cross-functional teams of 15+ engineers and PhD researchers
  • Architect ethical AI frameworks aligned with 2026 global regulatory standards

Qualifications

  • PhD in Computer Science, Machine Learning, or related field with 5+ years industry experience
  • Published research in top AI conferences (ICML, ICLR, CVPR) with >500 citations
  • Expertise in PyTorch/TensorFlow, quantum programming (Qiskit), and distributed computing
  • Proven track record of shipping production AI systems serving 10M+ users
  • Deep understanding of transformer architectures, diffusion models, and reinforcement learning
  • Strong background in MLOps, GPU optimization, and low-latency inference
  • Experience securing DARPA/NIH grants or equivalent funding mechanisms
  • Fluency in Python, C++, and high-performance computing paradigms

Required Skills

AI Research Machine Learning Quantum Computing Neural Networks PyTorch TensorFlow Qiskit MLOps Generative AI Distributed Computing GPU Optimization Reinforcement Learning

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