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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist - 2026 Vision

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

Job Description

Join Nexus Labs at the forefront of technological innovation as we architect the future of AI-driven solutions for 2026. We're seeking visionary AI Research Scientists to pioneer breakthroughs in autonomous systems, quantum computing, and neural networks. This role offers unparalleled opportunities to shape next-generation technologies while collaborating with world-class researchers in our state-of-the-art Austin facility.

As part of our elite R&D division, you'll develop transformative AI models that will redefine industries and solve humanity's most complex challenges. We offer competitive compensation, flexible work arrangements, and a culture that celebrates intellectual curiosity and bold experimentation.

Responsibilities

  • Design and implement novel AI algorithms for predictive analytics and autonomous decision-making systems
  • Lead cross-functional research initiatives in quantum machine learning and neuromorphic computing
  • Develop scalable neural architectures optimized for edge computing and IoT ecosystems
  • Collaborate with product teams to translate research prototypes into production-ready solutions
  • Publish findings in top-tier academic journals and present at industry conferences
  • Mentor junior researchers and foster innovation through internal hackathons and knowledge-sharing

Qualifications

  • PhD in Computer Science, AI, or related field with 3+ years of industry research experience
  • Expertise in deep learning frameworks (TensorFlow, PyTorch) and distributed computing
  • Proven track record of publishing in NeurIPS, ICML, or equivalent tier-1 conferences
  • Strong background in reinforcement learning and multi-agent systems
  • Experience with quantum computing platforms (IBM Q, D-Wave) or neuromorphic hardware
  • Exceptional problem-solving skills with ability to tackle ambiguous, cutting-edge challenges

Required Skills

Artificial Intelligence Machine Learning Deep Learning Quantum Computing Neural Networks Python TensorFlow PyTorch Research Distributed Systems

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