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AI Research Scientist - 2026

Neural Dynamics Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Join Neural Dynamics Inc. at the forefront of artificial intelligence innovation. We're pioneering next-generation AI systems that will redefine human-machine interaction by 2026. As an AI Research Scientist, you'll collaborate with world-class experts to develop breakthrough algorithms in generative AI, neural networks, and quantum-enhanced machine learning. Our state-of-the-art lab in San Francisco offers unparalleled resources and a culture that values intellectual curiosity and bold experimentation. This role offers exceptional growth opportunities, competitive equity packages, and the chance to shape the future of intelligent systems.

Responsibilities

  • Lead cutting-edge research in generative AI and neural architecture optimization
  • Develop novel algorithms for quantum-enhanced machine learning applications
  • Collaborate with engineering teams to prototype and deploy research models
  • Author high-impact publications and patents in top-tier AI conferences
  • Mentor junior researchers and drive innovation through cross-functional projects
  • Secure research funding through grant applications and industry partnerships
  • Evaluate emerging AI frameworks and contribute to open-source initiatives

Qualifications

  • PhD in Computer Science, Machine Learning, or related field (or equivalent experience)
  • 5+ years of research experience in advanced AI/ML systems
  • Expertise in neural network architectures and generative models (GANs, Transformers)
  • Strong programming skills in Python, TensorFlow, and PyTorch
  • Published research in NeurIPS, ICML, or equivalent top-tier venues
  • Experience with quantum computing concepts and hybrid AI systems
  • Proven track record of translating research into practical applications

Required Skills

AI Research Machine Learning Neural Networks Quantum Computing Python TensorFlow PyTorch Generative AI Deep Learning

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