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AI Research Scientist (2026)

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

Job Description

Join InnovateX Labs at the forefront of 2026's AI revolution! We're seeking a visionary AI Research Scientist to architect next-generation machine learning systems that will redefine industries. In this pivotal role, you'll pioneer breakthrough algorithms in quantum-enhanced neural networks while collaborating with Nobel laureates and industry disruptors. Our Austin campus offers unparalleled resources—including a 10,000-qubit quantum annealing lab—to accelerate your research from theory to real-world impact.

Your Impact: Shape the future of autonomous systems, biometric AI interfaces, and ethical AI governance frameworks. Enjoy competitive equity packages, flexible research budgets, and dedicated sabbaticals for academic pursuits.

Responsibilities

  • Lead R&D for generative AI models with 10^6+ parameter architectures
  • Develop novel federated learning frameworks for cross-industry data collaboration
  • Architect quantum-inspired neural networks for computational optimization
  • Author patents and publish in Nature/Science-indexed journals
  • Mentor PhD fellows and lead cross-functional innovation sprints
  • Establish ethical AI protocols for 2026 regulatory compliance
  • Secure $2M+ in annual research grants through NIH/NSF partnerships

Qualifications

  • PhD in AI/ML with 5+ years of industrial research experience
  • Published ≥3 papers at NeurIPS/ICML/ICLR in past 3 years
  • Expertise in transformer architectures and quantum machine learning
  • Proficiency in PyTorch/TensorFlow with C++ optimization
  • Track record of commercializing AI research (≥2 patents)
  • Familiarity with 2026's AI regulatory landscape (EU AI Act, US AI Bill of Rights)
  • Experience with distributed computing on AWS/GCP quantum platforms

Required Skills

Quantum Machine Learning Generative AI Federated Learning Neural Architecture Search Ethical AI PyTorch AWS Quantum Patent Strategy

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