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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

NeuroVision Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

Shape the future of artificial intelligence at NeuroVision Labs, where cutting-edge research meets real-world impact. As an AI Research Scientist, you'll pioneer breakthroughs in machine learning and neural networks that will define the technological landscape of 2026 and beyond. Join our elite team of innovators in a state-of-the-art facility dedicated to pushing the boundaries of what's possible with AI.

We offer unparalleled resources, collaborative cross-functional teams, and the freedom to explore revolutionary ideas. Your work will directly influence products used by millions and set new industry standards in AI ethics, scalability, and human-computer interaction.

Responsibilities

  • Design and implement novel deep learning architectures for next-generation AI applications
  • Lead research initiatives in explainable AI and ethical machine learning frameworks
  • Develop scalable solutions for large-scale data processing and real-time inference
  • Collaborate with engineering teams to translate research into production-ready systems
  • Publish findings in top-tier journals and present at international AI conferences
  • Mentor junior researchers and contribute to lab's innovation roadmap
  • Stay ahead of emerging AI trends and evaluate their strategic implications

Qualifications

  • PhD in Computer Science, Machine Learning, or related field (or equivalent experience)
  • 3+ years of hands-on experience with transformer architectures and generative models
  • Publication record in NeurIPS/ICML/ICLR or equivalent venues
  • Expertise in PyTorch/TensorFlow and distributed computing frameworks
  • Strong background in reinforcement learning or multi-agent systems
  • Demonstrated ability to lead complex research projects from ideation to deployment
  • Passion for addressing AI safety and alignment challenges
  • Excellent communication skills with ability to articulate complex concepts clearly

Required Skills

Machine Learning Deep Learning PyTorch TensorFlow Reinforcement Learning Natural Language Processing Computer Vision Distributed Systems Research Methodology

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