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Advanced AI Research Scientist

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

Job Description

Join QuantumLeap Dynamics at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We seek visionary AI Research Scientists to develop transformative algorithms that will redefine industries. Collaborate with Nobel laureates and industry disruptors in our state-of-the-art Austin hub, where your work will directly shape the next generation of autonomous systems, quantum-computing interfaces, and neural-network architectures.

Our team operates at the intersection of theoretical physics and applied machine learning, pushing boundaries in generative AI, synthetic consciousness, and predictive analytics. You'll receive equity grants, unlimited R&D budget, and access to our quantum-simulation lab to accelerate breakthroughs.

Responsibilities

  • Architect next-gen AI frameworks for 2026-era autonomous infrastructure
  • Lead cross-functional teams in developing quantum-resistant ML algorithms
  • Publish 3+ peer-reviewed papers annually in top-tier journals (NeurIPS, Nature AI)
  • Design neural-optimization systems for real-time 6G network adaptation
  • Collaborate with ethics committees to ensure responsible AI deployment
  • Secure $2M+ in annual research grants through DARPA/NASA partnerships
  • Mentor PhD candidates in emerging AI paradigms

Qualifications

  • PhD in Computer Science/AI with 5+ years industry R&D experience
  • Published work in quantum machine learning or neuromorphic computing
  • Expertise in transformer architectures beyond current GPT-4 capabilities
  • Proficiency in quantum programming (Q#, Cirq) and superconducting hardware
  • Track record of scaling ML models to petabyte datasets
  • Security clearance eligibility for government-contracted projects
  • Portfolio demonstrating 2026-relevant AI prototypes

Required Skills

Machine Learning Quantum Computing Neural Networks Python TensorFlow PyTorch Quantum Algorithms High-Performance Computing Research Ethics

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