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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

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

Job Description

Join FutureTech Innovations as an AI Research Scientist and pioneer the next wave of artificial intelligence breakthroughs shaping 2026 and beyond. We're assembling a visionary team to develop transformative AI solutions that will redefine industries worldwide.

As a cornerstone of our Quantum AI division, you'll collaborate with Nobel laureates and industry pioneers to push the boundaries of machine learning, neural networks, and computational ethics. Our state-of-the-art lab in San Francisco's innovation hub offers unparalleled resources for groundbreaking research.

Responsibilities

  • Design and implement advanced neural architectures for next-generation AI systems
  • Lead cross-functional research initiatives in quantum machine learning and AGI safety
  • Develop novel algorithms for real-time multimodal data processing across edge devices
  • Publish breakthrough research in top-tier journals and conferences (NeurIPS, ICML)
  • Mentor PhD candidates and junior researchers in AI ethics and responsible innovation
  • Collaborate with product teams to translate research into commercial AI solutions

Qualifications

  • PhD in Computer Science, AI, or related field with 3+ years industry experience
  • Expertise in deep learning frameworks (PyTorch, TensorFlow) and quantum computing principles
  • Proven track record of publishing high-impact AI research (h-index >15)
  • Strong background in reinforcement learning and unsupervised learning methodologies
  • Experience with distributed computing and large-scale model deployment
  • Exceptional problem-solving skills with ability to tackle open-ended research challenges
  • Demonstrated knowledge of AI safety frameworks and ethical AI implementation

Required Skills

AI Research Machine Learning Deep Learning Quantum Computing Neural Networks Python TensorFlow PyTorch Reinforcement Learning AI Ethics Distributed Computing

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