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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

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 2026's technological revolution. We're pioneering next-generation AI systems that will redefine industries and solve humanity's greatest challenges. As an AI Research Scientist, you'll collaborate with Nobel laureates and industry disruptors to develop breakthrough algorithms in quantum machine learning and neural-symbolic integration. Our state-of-the-art labs in San Francisco offer unparalleled resources and a culture where curiosity fuels innovation. We offer comprehensive benefits, flexible work arrangements, and equity in our rapidly growing unicorn startup. Shape the future of artificial intelligence with us.

Responsibilities

  • Lead cutting-edge research in quantum neural networks and explainable AI frameworks
  • Develop novel algorithms for autonomous decision-making systems with real-world deployment
  • Collaborate with cross-functional teams to integrate research findings into commercial products
  • Publish findings in top-tier journals and present at premier AI conferences
  • Secure competitive research grants and patents for breakthrough innovations
  • Mentor junior researchers and foster a culture of scientific excellence

Qualifications

  • PhD in Computer Science, AI, Machine Learning, or related field (or equivalent experience)
  • 3+ years of experience in advanced ML research with peer-reviewed publications
  • Expertise in quantum computing architectures and quantum neural networks
  • Proficiency in Python, TensorFlow/PyTorch, and distributed computing frameworks
  • Strong background in ethics, bias mitigation, and responsible AI development
  • Experience with large-scale experimental design and A/B testing for ML systems
  • Proven ability to translate research into practical applications

Required Skills

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

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