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Senior AI Research Scientist

NeuraTech Innovations
San Francisco
Salary Estimate
USD 180.000 – USD 250.000
Latest
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Join NeuraTech's pioneering AI division to revolutionize machine learning applications. We're seeking a visionary Senior AI Research Scientist to develop breakthrough algorithms that solve complex real-world problems. You'll lead cutting-edge research in generative AI, neural networks, and computational intelligence while mentoring a world-class team. Our collaborative environment combines academic rigor with industry impact, offering unparalleled resources to transform theoretical concepts into scalable solutions.

At NeuraTech, you'll work on projects ranging from autonomous systems to healthcare diagnostics, with access to our $50M AI infrastructure. We offer competitive equity, flexible remote options, and continuous learning stipends. Help us shape the future of artificial intelligence while accelerating your career in one of tech's most dynamic ecosystems.

Responsibilities

  • Design and implement novel deep learning architectures for next-generation AI applications
  • Lead cross-functional research initiatives in generative models, reinforcement learning, and multimodal AI
  • Publish breakthrough research in top-tier conferences (NeurIPS, ICML, CVPR) and industry journals
  • Mentor junior researchers and PhD candidates while fostering a culture of scientific excellence
  • Translate theoretical research into production-ready solutions with 10M+ user impact
  • Collaborate with engineering teams to optimize AI systems for scalability and performance
  • Secure external research funding through grants and partnerships with leading academic institutions

Qualifications

  • PhD in Machine Learning, Computer Science, or related field with 5+ years of industry experience
  • Proven publication record at top-tier AI conferences (NeurIPS, ICML, CVPR)
  • Expertise in PyTorch/TensorFlow with proficiency in distributed training frameworks
  • Strong background in transformer architectures, diffusion models, and MLOps
  • Experience leading research teams and managing complex AI projects from concept to deployment
  • Demonstrated ability to bridge theoretical research with practical engineering applications
  • Excellent communication skills with experience presenting to technical and executive audiences

Required Skills

Machine Learning Deep Learning PyTorch TensorFlow Neural Networks Reinforcement Learning Generative AI MLOps Python Research

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