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Information Technology 🏒 Full Time ⭐️ Verified

AI Research Scientist (2026 Vision)

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

Job Description

Join Nexus Innovations at the forefront of technological evolution as we build the intelligent systems of tomorrow. We're seeking visionary AI Research Scientists to pioneer breakthroughs that will define 2026 and beyond. In this role, you'll collaborate with world-class teams to transform theoretical concepts into scalable solutions that reshape industries.

Our culture thrives on innovation, autonomy, and intellectual curiosity. You'll have access to cutting-edge resources and the freedom to explore uncharted territories in machine learning, quantum AI, and predictive analytics. This isn't just a jobβ€”it's your chance to architect the future.

Responsibilities

  • Design and implement novel AI architectures for next-gen autonomous systems
  • Lead quantum machine learning research projects with 5-year roadmaps
  • Develop ethical AI frameworks aligned with 2026 regulatory standards
  • Collaborate with product teams to translate research into commercial applications
  • Publish breakthrough findings in top-tier AI journals and conferences
  • Mentor junior researchers and foster cross-disciplinary innovation
  • Secure federal and private research grants for 2026 initiatives

Qualifications

  • PhD in Computer Science, AI, or related field with 3+ years industry experience
  • Proven track record of publishing in NeurIPS/ICML/AAAI venues
  • Expertise in transformer architectures, reinforcement learning, and quantum computing
  • Proficiency in PyTorch, TensorFlow, and quantum programming frameworks
  • Demonstrated ability to lead complex R&D projects with multi-year timelines
  • Strong background in AI ethics and responsible AI development
  • Experience securing research funding from NSF or DARPA

Required Skills

AI Research Machine Learning Quantum Computing Deep Learning PyTorch TensorFlow Reinforcement Learning AI Ethics Scientific Publishing

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