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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Research Scientist

NeuraTech Innovations
San Francisco
Salary Estimate
USD 180.000 – USD 250.000
Live Update
1 Juni 2026
Deadline
1 Jun 2027

Job Description

Transform the future of artificial intelligence at NeuraTech Innovations. We're seeking a visionary Senior AI Research Scientist to lead groundbreaking projects in machine learning and neural networks. Join our elite team of innovators developing next-generation AI solutions that solve real-world challenges. Enjoy unparalleled resources, collaborative research environments, and the opportunity to publish cutting-edge findings in top-tier journals.

What You'll Experience:

  • State-of-the-art computing infrastructure and GPU clusters
  • Collaborative partnerships with Stanford and UC Berkeley research labs
  • Competitive equity packages and comprehensive benefits
  • Flexible work arrangements with quarterly innovation retreats

Responsibilities

  • Lead end-to-end AI research projects from ideation to production deployment
  • Design and implement novel deep learning architectures for computer vision/NLP applications
  • Publish research in top-tier conferences (NeurIPS, ICML, CVPR)
  • Mentor junior researchers and cross-functional engineering teams
  • Collaborate with product teams to translate research into scalable solutions
  • Stay current with emerging AI techniques through continuous learning

Qualifications

  • PhD in Computer Science, AI, or related field with 5+ years industry experience
  • Proven track record of peer-reviewed publications in AI/ML conferences
  • Expertise in PyTorch/TensorFlow and distributed training frameworks
  • Strong background in at least one specialized area: reinforcement learning, generative models, or multimodal AI
  • Experience deploying ML models in production environments
  • Exceptional problem-solving skills and ability to communicate complex concepts
  • Portfolio of open-source contributions or GitHub repositories

Required Skills

Machine Learning Deep Learning PyTorch TensorFlow Computer Vision NLP Reinforcement Learning Distributed Systems Research Methodology

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