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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Research Scientist

NeuraTech Dynamics
San Francisco
Salary Estimate
USD 190.000 – USD 280.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Join NeuraTech Dynamics' elite AI innovation lab where you'll pioneer breakthrough solutions that redefine industries. We're seeking a visionary Senior AI Research Scientist to lead transformative projects at the intersection of machine learning and real-world applications. Collaborate with Nobel laureates and industry disruptors to develop scalable AI architectures while mentoring the next generation of talent.

Why NeuraTech? Our state-of-the-art San Francisco campus features dedicated quantum computing clusters and industry-first ethical AI frameworks. Enjoy unparalleled research freedom with $50K annual innovation budgets and flexible remote options.

Responsibilities

  • Design and implement novel deep learning architectures for natural language processing and computer vision
  • Lead cross-functional teams in deploying AI solutions to Fortune 500 clients
  • Publish groundbreaking research in top-tier AI conferences (NeurIPS, ICML, ICLR)
  • Develop patent-pending AI frameworks with built-in bias mitigation
  • Mentor junior researchers and establish industry best practices
  • Partner with product teams to commercialize research innovations

Qualifications

  • PhD in Computer Science, Machine Learning, or related field with 5+ years industry experience
  • Proven track record of publishing in top AI conferences (h-index >15)
  • Expertise in PyTorch/TensorFlow and distributed ML frameworks
  • Strong background in reinforcement learning and generative models
  • Experience leading AI ethics initiatives and responsible AI deployment
  • Proficiency in MLOps and productionizing ML at scale
  • Exceptional communication skills for technical and non-technical audiences

Required Skills

Machine Learning Deep Learning Natural Language Processing Computer Vision Reinforcement Learning PyTorch TensorFlow MLOps Research Ethics

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