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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist - 2026 Innovations

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

Job Description

Join 2026 Innovations at the forefront of technological evolution as we redefine artificial intelligence's next frontier. We're seeking visionary AI Research Scientists to pioneer breakthroughs that will shape humanity's digital future. Our dynamic team operates at the intersection of quantum computing, neural networks, and sustainable AI, developing solutions for global challenges from climate modeling to personalized medicine. With state-of-the-art labs and unparalleled resources, you'll collaborate with Nobel laureates and industry disruptors while enjoying San Francisco's vibrant tech ecosystem.

Responsibilities

  • Lead cutting-edge research in quantum machine learning and next-gen neural architectures
  • Develop novel AI frameworks for ethical autonomous systems and human-AI collaboration
  • Publish breakthrough findings in top-tier journals and conferences (NeurIPS, ICML, etc.)
  • Translate theoretical innovations into scalable prototypes with product teams
  • Mentor junior researchers and cross-functional AI/ML engineers
  • Secure $1M+ in annual research funding through grant proposals
  • Shape company's 5-year AI roadmap and ethical guidelines

Qualifications

  • PhD in Computer Science, AI, or related field with 3+ years postdoctoral experience
  • Published research in quantum ML or neuromorphic computing (10+ peer-reviewed papers)
  • Expertise in PyTorch/TensorFlow and quantum programming (Qiskit/Cirq)
  • Proven track record of converting research into commercial applications
  • Deep understanding of AI ethics, bias mitigation, and responsible AI frameworks
  • Experience securing NSF/NIH/EU Horizon grants
  • Fluency in distributed computing (Spark, Kubernetes) and high-performance computing

Required Skills

Quantum Computing Neural Networks Machine Learning PyTorch TensorFlow Research Ethics Grant Writing Distributed Computing AI Ethics Neuromorphic Computing

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