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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Research Scientist

NeuraVision Labs
San Francisco
Salary Estimate
USD 180.000 – USD 250.000
Latest
Live Update
20 Mei 2026
Deadline
20 Mei 2027

Job Description

Join NeuraVision Labs at the forefront of artificial intelligence innovation. We're pioneering breakthroughs in generative AI and autonomous systems, seeking a visionary Senior AI Research Scientist to lead transformative projects. Our team operates at the intersection of cutting-edge research and real-world applications, with access to industry-leading infrastructure and collaborative partnerships with top academic institutions.

As a key member of our research division, you'll shape the future of AI while solving complex challenges in natural language processing and computer vision. We offer competitive compensation, flexible work arrangements, and opportunities to publish groundbreaking research in top-tier conferences.

Responsibilities

  • Design and implement novel deep learning architectures for large-scale language models
  • Lead research initiatives in generative AI and multimodal systems
  • Collaborate with engineering teams to translate research into production-ready solutions
  • Publish findings in top-tier AI conferences (NeurIPS, ICML, ICLR)
  • Mentor junior researchers and foster a culture of scientific excellence
  • Develop ethical frameworks for responsible AI deployment
  • Secure external funding through government and industry grants

Qualifications

  • PhD in Computer Science, Machine Learning, or related field (or equivalent experience)
  • 5+ years of experience in applied AI research with publication record
  • Expertise in PyTorch/TensorFlow and distributed training frameworks
  • Strong background in NLP, transformers, or generative modeling
  • Proficiency in Python, CUDA, and high-performance computing
  • Experience with MLOps and production AI systems
  • Demonstrated ability to lead complex research projects from concept to deployment
  • Strong communication skills for technical and non-technical audiences

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning NLP Computer Vision Transformers Generative AI MLOps CUDA

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