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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

Nexus Labs
Austin
Estimated Salary
USD 190.000 – USD 280.000
New
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

Join Nexus Labs at the forefront of artificial intelligence revolution. We're seeking a pioneering AI Research Scientist to architect the future of machine learning systems. As a key innovator in our Austin R&D hub, you'll develop transformative AI models that redefine industry standards and shape the technological landscape of 2026 and beyond.

Our state-of-the-art facility offers unparalleled resources for experimentation and collaboration. You'll work alongside Nobel laureates and Turing Award winners in an environment where bold ideas become reality. We provide competitive equity packages, unlimited PTO, and comprehensive wellness programs to support your peak performance.

Responsibilities

  • Design next-gen neural architectures for autonomous systems and generative AI
  • Lead research initiatives in quantum-computing-enhanced machine learning
  • Develop ethical AI frameworks for responsible deployment in critical infrastructure
  • Collaborate with Fortune 100 partners on real-world implementation challenges
  • Publish breakthrough research in top-tier journals (Nature, Science, NeurIPS)
  • Mentor PhD fellows in our sponsored AI incubation program
  • Secure patents for proprietary AI methodologies and systems

Qualifications

  • PhD in Machine Learning, Quantum Computing, or Computational Neuroscience
  • 5+ years of industry R&D experience with peer-reviewed publications
  • Expertise in transformer architectures, diffusion models, and reinforcement learning
  • Proficiency in PyTorch, TensorFlow Quantum, and C++ for high-performance systems
  • Demonstrated success in deploying AI at scale in production environments
  • Experience with MLOps pipelines and cloud-native AI deployment (AWS/GCP)
  • Strong background in AI ethics and responsible AI frameworks

Required Skills

Deep Learning Quantum Computing Neural Architecture Search MLOps AI Ethics PyTorch Reinforcement Learning

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