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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

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

Job Description

Join Nexus Future Labs, a pioneering leader in artificial intelligence, as we embark on a mission to transform the future. We are seeking a visionary AI Research Scientist to lead groundbreaking research and development in machine learning, natural language processing, and quantum computing. This is a unique opportunity to shape the next generation of AI technologies that will redefine industries by 2026.

Our team operates at the intersection of academia and industry, collaborating with Nobel laureates and Fortune 500 partners to solve humanity's most complex challenges. You'll have access to cutting-edge infrastructure and a culture that rewards bold experimentation.

Responsibilities

  • Design and implement novel machine learning algorithms for autonomous systems and predictive analytics
  • Lead cross-functional research initiatives in quantum machine learning and neural-symbolic AI
  • Publish breakthrough findings in top-tier journals (Nature, Science, NeurIPS)
  • Develop scalable AI frameworks for real-world applications in healthcare and climate science
  • Mentor PhD researchers and foster innovation through collaborative workshops
  • Secure federal grants and industry partnerships for advanced AI projects

Qualifications

  • PhD in Computer Science, AI, or related field with 5+ years of research experience
  • Published record in top-tier AI conferences (NeurIPS, ICML, CVPR)
  • Expertise in deep learning frameworks (PyTorch, TensorFlow) and quantum computing
  • Proven ability to translate theoretical research into production-ready solutions
  • Strong background in reinforcement learning and multi-agent systems
  • Experience securing DARPA or NSF grants preferred
  • Fluency in Python, C++, and distributed computing systems

Required Skills

machine learning quantum computing deep learning research neural networks AI ethics Python TensorFlow PyTorch

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