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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

Quantum Leap Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
21 Mei 2026
Deadline
21 Mei 2027

Job Description

Join Quantum Leap Labs at the forefront of artificial intelligence innovation. We're seeking visionary AI Research Scientists to pioneer breakthrough technologies that will shape the future. Collaborate with world-class teams in our state-of-the-art San Francisco headquarters, where cutting-edge research meets real-world application. This role offers unparalleled opportunities to work on transformative projects in natural language processing, computer vision, and quantum-enhanced machine learning. We provide competitive compensation, comprehensive benefits, and a culture that celebrates intellectual curiosity and bold experimentation.

Responsibilities

  • Lead advanced research initiatives in generative AI and neural networks
  • Develop novel algorithms for complex problem-solving in autonomous systems
  • Collaborate with engineering teams to translate research into production-ready solutions
  • Publish findings in top-tier academic journals and industry conferences
  • Mentor junior researchers and foster a culture of continuous learning
  • Secure external funding through grant proposals and industry partnerships
  • Stay current with emerging AI trends and ethical frameworks

Qualifications

  • PhD in Computer Science, Machine Learning, or related field (or equivalent experience)
  • 5+ years of hands-on experience with deep learning frameworks (TensorFlow, PyTorch)
  • Proven track record of publishing research in top-tier AI conferences
  • Expertise in at least one specialized AI domain: NLP, computer vision, or reinforcement learning
  • Strong programming skills in Python, C++, and distributed computing
  • Experience with large-scale model training and optimization techniques
  • Demonstrated ability to translate theoretical concepts into practical applications
  • Excellent communication skills for technical and non-technical audiences

Required Skills

Machine Learning Deep Learning TensorFlow PyTorch NLP Computer Vision Reinforcement Learning Python C++ Distributed Computing Research Publication

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