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AI Research Scientist

NeuraForge Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join NeuraForge Labs, the vanguard of artificial intelligence innovation, as we pioneer solutions that will define 2026. We seek a visionary AI Research Scientist to architect next-generation neural networks and generative AI systems that will transform industries. This role offers unparalleled opportunity to shape the future of human-computer interaction at our state-of-the-art San Francisco headquarters.

You'll collaborate with Nobel laureates and Turing Award winners in an environment that values intellectual curiosity and bold experimentation. We provide competitive equity packages, unlimited learning stipends, and flexible work arrangements designed for peak productivity. If you're ready to solve humanity's most complex challenges through AI, this is your calling.

Responsibilities

  • Design and implement novel deep learning architectures for multimodal AI systems
  • Lead research initiatives in generative adversarial networks and transformer models
  • Develop ethical AI frameworks ensuring responsible deployment of autonomous systems
  • Collaborate with quantum computing teams to accelerate AI training algorithms
  • Author breakthrough research papers for top-tier AI conferences (NeurIPS, ICML)
  • Mentor junior researchers and cross-functional engineering teams
  • Translate theoretical research into production-ready AI solutions

Qualifications

  • PhD in Computer Science, Machine Learning, or related field (or equivalent research experience)
  • 5+ years of experience developing production-grade AI/ML systems
  • Expertise in PyTorch/TensorFlow and distributed training frameworks
  • Published record in top AI conferences or journals
  • Strong background in reinforcement learning and neural architecture search
  • Proficiency in high-performance computing and GPU optimization
  • Demonstrated ability to translate complex research into practical applications

Required Skills

AI Research Machine Learning Deep Learning PyTorch TensorFlow Reinforcement Learning Neural Networks Quantum Computing Generative AI Computer Vision NLP

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