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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Research Scientist

NeuroSync Technologies
San Jose
Salary Estimate
USD 180.000 – USD 250.000
Latest
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

Join NeuroSync Technologies at the forefront of artificial intelligence innovation. We're seeking a visionary Senior AI Research Scientist to develop groundbreaking neural networks and machine learning models that will redefine industry standards. Collaborate with world-class engineers in our state-of-the-art Silicon Valley lab to solve complex challenges in natural language processing and computer vision. Enjoy competitive benefits, flexible work arrangements, and opportunities to publish research in top-tier journals.

Responsibilities

  • Design and implement novel deep learning architectures for real-world applications
  • Lead cross-functional research initiatives in generative AI and reinforcement learning
  • Publish peer-reviewed research and present findings at international conferences
  • Translate theoretical models into scalable production-ready solutions
  • Mentor junior researchers and drive innovation through technical workshops
  • Collaborate with product teams to align research with commercial objectives
  • Stay current with emerging AI trends through continuous learning

Qualifications

  • PhD in Computer Science, Mathematics, or related field with 5+ years industry experience
  • Expertise in PyTorch/TensorFlow and distributed computing frameworks
  • Proven track record of publishing in top-tier AI conferences (NeurIPS, ICML, CVPR)
  • Strong background in transformer architectures and large language models
  • Proficient in Python, C++, and high-performance computing environments
  • Demonstrated ability to lead complex research projects from conception to deployment
  • Excellent communication skills with ability to articulate technical concepts to diverse audiences

Required Skills

Machine Learning Deep Learning Python PyTorch TensorFlow NLP Computer Vision Distributed Computing Research Leadership

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