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Information Technology 🏢 Full Time ⭐️ Verified

AI/ML Research Scientist - 2026 Vision

Nexus Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

Join Nexus Labs at the forefront of 2026's technological revolution as we pioneer next-generation AI systems. We're seeking an exceptional Research Scientist to develop breakthrough machine learning models that will reshape industries. Our Austin-based innovation hub offers unparalleled resources to transform theoretical concepts into real-world applications. You'll collaborate with world-class engineers in an environment that values creativity, rigor, and impact. This role is your opportunity to shape the future of artificial intelligence while enjoying competitive compensation, cutting-edge tools, and a culture that celebrates bold ideas.

Responsibilities

  • Design and implement novel deep learning architectures for 2026-era applications
  • Lead research initiatives in quantum-computing-enhanced AI models
  • Develop ethical AI frameworks ensuring responsible deployment
  • Collaborate with product teams to translate research into scalable solutions
  • Publish findings in top-tier journals and present at industry conferences
  • Mentor junior researchers and foster cross-functional innovation
  • Secure research grants and partnerships with leading academic institutions

Qualifications

  • PhD in Computer Science, Machine Learning, or related field (or equivalent experience)
  • 5+ years of research experience in AI/ML with published peer-reviewed papers
  • Expertise in PyTorch/TensorFlow and distributed computing frameworks
  • Strong background in neural architecture search and generative models
  • Proven ability to secure research funding (>$500k preferred)
  • Experience with quantum computing APIs or hybrid quantum-classical systems
  • Demonstrated success in translating research into production systems
  • Excellent communication skills with technical and non-technical stakeholders

Required Skills

AI Research Machine Learning Deep Learning Quantum Computing PyTorch TensorFlow Neural Architecture Search Generative Models Research Grants AI Ethics

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