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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Research Scientist

NeuroTech Innovations
San Francisco
Salary Estimate
USD 180.000 – USD 250.000
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

Join NeuroTech Innovations as a Senior AI Research Scientist and lead groundbreaking research at the intersection of artificial intelligence and human-computer interaction. We're seeking visionary minds to develop next-generation AI solutions that redefine how technology integrates with daily life. Our state-of-the-art lab in San Francisco provides unparalleled resources to pioneer breakthroughs in machine learning, natural language processing, and computer vision.

At NeuroTech, you'll collaborate with Nobel laureates and Turing Award winners in a culture that values intellectual curiosity and disruptive innovation. We offer competitive equity packages, flexible work arrangements, and dedicated R&D budgets for ambitious projects. Shape the future of AI while enjoying San Francisco's vibrant tech ecosystem.

Responsibilities

  • Design and implement novel deep learning architectures for complex real-world problems
  • Lead cross-functional research initiatives spanning NLP, computer vision, and reinforcement learning
  • Publish findings in top-tier AI conferences (NeurIPS, ICML, CVPR) and academic journals
  • Translate theoretical research into production-ready solutions with 10M+ user impact
  • Mentor junior researchers and PhD candidates in advanced ML methodologies
  • Develop ethical AI frameworks ensuring bias mitigation and responsible deployment
  • Secure external funding through NSF grants and industry partnerships

Qualifications

  • PhD in Computer Science, Machine Learning, or related field with 3+ years post-doctoral experience
  • Proven track record of peer-reviewed publications in top AI conferences
  • Expertise in PyTorch/TensorFlow with production-level deployment experience
  • Strong background in distributed computing and GPU optimization
  • Deep understanding of transformer architectures and attention mechanisms
  • Experience with MLOps pipelines and cloud platforms (AWS/GCP)
  • Demonstrated ability to lead multi-disciplinary research teams
  • Passion for ethical AI development and societal impact

Required Skills

Machine Learning Deep Learning Natural Language Processing Computer Vision PyTorch TensorFlow Reinforcement Learning Distributed Computing MLOps Research Leadership

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