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AI Research Scientist - 2026 Vision

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join Nexus Innovations at the forefront of artificial intelligence development. We're pioneering breakthroughs that will shape the technological landscape of 2026 and beyond. As an AI Research Scientist, you'll collaborate with world-class experts to design, develop, and deploy cutting-edge machine learning models that solve humanity's most pressing challenges. Our state-of-the-art labs in San Francisco offer unparalleled resources and a culture of innovation that empowers you to transform theoretical concepts into real-world solutions. If you're passionate about pushing the boundaries of AI and contributing to a future where technology enhances human potential, this is your calling.

Responsibilities

  • Design and implement novel deep learning architectures for next-generation AI systems
  • Lead research initiatives in explainable AI, quantum machine learning, and neural-symbolic integration
  • Collaborate with cross-functional teams to translate research into scalable production models
  • Publish findings in top-tier journals and present at global AI conferences
  • Develop ethical frameworks for responsible AI deployment in 2026-era applications
  • Mentor junior researchers and drive innovation through hackathons and internal R&D projects
  • Secure external funding through NSF and DARPA proposals for frontier AI research

Qualifications

  • PhD in Computer Science, AI, or related field with 3+ years of post-graduate research experience
  • Proven track record of publishing in NeurIPS, ICML, or equivalent top-tier venues
  • Expertise in transformer architectures, reinforcement learning, and multi-modal systems
  • Proficiency in PyTorch, TensorFlow, and distributed computing frameworks
  • Strong background in ethics, fairness, and bias mitigation in AI systems
  • Experience securing federal research grants (NSF, NIH, DARPA preferred)
  • Ability to lead complex research projects and mentor diverse technical teams

Required Skills

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

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