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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist (Future Tech)

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

Join our pioneering team at Nexus Innovations to shape the technological landscape of 2026 and beyond. We're seeking visionary AI Research Scientists to develop cutting-edge solutions in quantum computing, autonomous systems, and human-AI collaboration. This is your opportunity to work with industry leaders in a state-of-the-art facility with unlimited resources for exploration and innovation.

What You'll Experience:

  • Collaborative environment with 24/7 access to advanced computing clusters
  • Annual research stipend for conferences, publications, and experiments
  • Flexible hybrid work policy with unlimited PTO
  • Comprehensive benefits package including equity and retirement planning

Responsibilities

  • Lead R&D initiatives in next-generation AI architectures (2026+ roadmap)
  • Develop novel algorithms for quantum-ML hybrid systems
  • Author breakthrough research papers for top-tier publications
  • Collaborate with engineering teams to prototype experimental systems
  • Mentor junior researchers and foster cross-functional innovation
  • Secure patents and intellectual property for disruptive technologies
  • Present findings at global tech conferences and industry summits

Qualifications

  • PhD in Computer Science, AI, or related field (or equivalent experience)
  • 5+ years of published research in top-tier AI/ML conferences
  • Expertise in deep learning frameworks (PyTorch, TensorFlow) and quantum computing
  • Proven track record of translating research into commercial applications
  • Strong background in ethical AI development and bias mitigation
  • Experience with distributed computing and high-performance systems
  • Exceptional problem-solving skills for complex, undefined challenges
  • Portfolio of open-source contributions or patented innovations

Required Skills

Artificial Intelligence Machine Learning Quantum Computing Deep Learning Python TensorFlow PyTorch Research Data Science Ethics Algorithm Development

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