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AI Research Scientist (2026 Horizon)

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

Job Description

Join QuantumLeap Labs at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We're seeking an AI Research Scientist to architect breakthrough systems that will define the next generation of human-machine collaboration. In this pivotal role, you'll work in our state-of-the-art Austin facility alongside Nobel laureates and Turing Award winners to develop scalable AI frameworks capable of solving humanity's most complex challenges.

Our team operates at the intersection of quantum computing, neural networks, and predictive analytics. You'll leverage our proprietary quantum-cloud infrastructure to train models with unprecedented efficiency while contributing to open-source initiatives that shape global AI standards. We offer comprehensive benefits including equity grants, flexible work arrangements, and dedicated research funding.

Responsibilities

  • Design and implement cutting-edge AI architectures for next-generation autonomous systems
  • Lead quantum-enhanced machine learning research targeting 2026 technological inflection points
  • Collaborate with cross-functional teams to translate theoretical models into production-ready solutions
  • Author peer-reviewed publications and patents in top-tier journals/conferences
  • Mentor junior researchers and participate in academic partnerships with MIT/Stanford
  • Develop ethical frameworks for responsible AI deployment in regulated industries

Qualifications

  • PhD in Computer Science, AI, or related field with 5+ years industry experience
  • Published research in NIPS/ICML/AAAI with 50+ citations
  • Expertise in transformer architectures, reinforcement learning, and federated systems
  • Proficiency with quantum programming languages (Qiskit, Cirq) and cloud platforms (AWS/Azure)
  • Proven ability to secure $1M+ in research grants or corporate funding
  • Strong background in AI ethics and regulatory compliance frameworks
  • Portfolio demonstrating deployment of models processing >1 petabyte datasets

Required Skills

AI Research Machine Learning Quantum Computing Neural Networks Deep Learning Python TensorFlow PyTorch Quantum Programming Ethics in AI

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