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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

Nexus Labs
Austin
Estimated Salary
USD 180.000 – USD 280.000
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer breakthroughs in artificial intelligence for 2026 and beyond. We're seeking visionary AI Research Scientists to develop next-generation autonomous systems, quantum-integrated machine learning models, and ethical AI frameworks that will redefine human-machine collaboration.

As part of our elite innovation team, you'll collaborate with Nobel laureates and industry pioneers in our state-of-the-art Austin R&D facility. We offer unparalleled resources, unlimited compute power, and a culture where your wildest ideas become reality. Shape the future of humanity's relationship with technology while enjoying comprehensive benefits, equity packages, and flexible work arrangements.

Responsibilities

  • Design and implement novel AI architectures for autonomous decision-making systems
  • Lead research into quantum-ML hybrid algorithms for exponential performance gains
  • Develop ethical AI governance frameworks aligned with global standards
  • Collaborate with robotics teams to create embodied AI solutions
  • Publish breakthrough research in top-tier journals and conferences
  • Mentor junior researchers and drive innovation through hackathons
  • Secure patents for proprietary AI methodologies

Qualifications

  • PhD in Computer Science, AI, or related field with 5+ years industry experience
  • Expertise in transformer architectures, reinforcement learning, and neural-symbolic AI
  • Published record at NeurIPS, ICML, or equivalent tier-1 venues
  • Proficiency in PyTorch, TensorFlow, and quantum computing frameworks
  • Strong background in AI ethics and bias mitigation techniques
  • Experience with large-scale distributed computing environments
  • Proven ability to translate research into production-grade systems

Required Skills

AI Research Machine Learning Quantum Computing Ethics Deep Learning PyTorch TensorFlow Reinforcement Learning Neural Networks NLP Computer Vision

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