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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

QuantumLeap Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join QuantumLeap Labs at the forefront of technological innovation as we pioneer breakthroughs in artificial intelligence for 2026 and beyond. We're seeking visionary AI Research Scientists to develop next-generation machine learning models that will redefine industries. Our collaborative environment combines cutting-edge research with real-world applications, offering unparalleled opportunities to shape the future of intelligent systems. With competitive compensation, comprehensive benefits, and access to state-of-the-art resources, this is your chance to make a lasting impact on the AI landscape.

Responsibilities

  • Design and implement novel deep learning architectures for complex problem domains
  • Lead research initiatives in generative AI, quantum machine learning, and neural-symbolic systems
  • Collaborate with cross-functional teams to translate research into production-ready solutions
  • Publish findings in top-tier conferences and contribute to open-source AI communities
  • Mentor junior researchers and drive innovation through experimental prototyping
  • Develop ethical AI frameworks ensuring responsible deployment of advanced systems

Qualifications

  • PhD in Computer Science, Machine Learning, or related field (or equivalent experience)
  • 5+ years of experience in AI research with proven track record of publications
  • Expertise in transformer architectures, reinforcement learning, and multimodal systems
  • Proficiency in Python, PyTorch/TensorFlow, and distributed computing frameworks
  • Strong mathematical foundations in linear algebra, calculus, and probability theory
  • Demonstrated ability to translate research into scalable industrial applications
  • Passion for ethical AI development and staying ahead of emerging trends

Required Skills

AI Research Machine Learning Deep Learning PyTorch TensorFlow Reinforcement Learning Generative AI Quantum Computing Neural Networks Python

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