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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist 2026

Nexus Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Join Nexus Labs at the forefront of 2026's technological revolution! We're seeking visionary AI Research Scientists to architect next-generation neural architectures that will redefine human-machine collaboration. Our Austin-based innovation hub empowers you to pioneer breakthroughs in quantum-computing-optimized AI while solving humanity's most complex challenges through ethical, scalable solutions. Work alongside Nobel laureates and collaborate with Fortune 100 partners to shape the digital frontier.

Responsibilities

  • Design and implement novel quantum-resistant neural network architectures for 2026-era applications
  • Lead cross-functional R&D teams in developing explainable AI frameworks for healthcare diagnostics
  • Publish groundbreaking research in top-tier AI journals and present at global tech symposia
  • Architect federated learning systems enabling privacy-preserving multi-institutional data collaboration
  • Translate theoretical breakthroughs into production-ready solutions with 99.99% reliability SLAs
  • Mentor PhD candidates and drive open-source initiatives advancing democratized AI access

Qualifications

  • PhD in Machine Learning, Quantum Computing, or related field with 3+ years industry experience
  • Published research in Nature/Science or equivalent tier AI publications
  • Expertise in PyTorch/TensorFlow with 10B+ parameter model deployment experience
  • Proficiency in quantum programming languages (Qiskit/Cirq) and NISQ-era hardware optimization
  • Proven track record of translating research into commercial AI products
  • Deep knowledge of ethical AI frameworks and responsible AI development principles
  • Strong background in computational neuroscience or neuromorphic computing

Required Skills

Quantum Computing Neural Architecture Search Explainable AI Federated Learning PyTorch Qiskit Ethics in AI PhD

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