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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist - 2026 Vision

NeuraCore Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join NeuraCore Dynamics at the forefront of 2026's technological revolution! We're seeking an innovative AI Research Scientist to architect next-generation neural networks and shape the future of artificial intelligence. You'll collaborate with world-class engineers to develop breakthrough algorithms that redefine human-machine interaction. Our state-of-the-art lab in San Francisco offers unparalleled resources to transform theoretical concepts into real-world applications. If you're passionate about pushing the boundaries of machine learning and want to impact how humanity interacts with AI in 2026, this is your calling.

Responsibilities

  • Design and implement advanced neural architectures for next-gen AI systems
  • Lead cross-functional research initiatives on explainable AI and quantum computing integration
  • Develop proprietary algorithms for real-time multimodal data processing
  • Publish breakthrough research in top-tier AI conferences and journals
  • Mentor junior researchers and foster a culture of scientific excellence
  • Collaborate with product teams to translate research into scalable solutions
  • Stay ahead of emerging trends in AI ethics and responsible AI frameworks

Qualifications

  • PhD in Computer Science, Machine Learning, or related field (or equivalent experience)
  • 5+ years of hands-on experience with deep learning frameworks (PyTorch, TensorFlow)
  • Expertise in transformer architectures and reinforcement learning
  • Published research at NeurIPS, ICML, or equivalent tier conferences
  • Proficiency in distributed computing and high-performance GPU optimization
  • Strong background in statistical modeling and Bayesian inference
  • Demonstrated ability to lead complex research projects from conception to deployment

Required Skills

Machine Learning Deep Learning Neural Networks PyTorch TensorFlow Reinforcement Learning Research AI Ethics Quantum Computing Statistical Modeling

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