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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist - 2026 Vision

QuantumLeap Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
5 Juli 2026
Deadline
5 Jul 2027

Job Description

Shape the future with QuantumLeap Technologies as we pioneer the next frontier of artificial intelligence. We're seeking an AI Research Scientist to lead breakthrough projects that will define the technological landscape of 2026. Join our elite team in San Francisco where innovation meets impact, and transform theoretical concepts into real-world solutions that will billions of lives.

At QuantumLeap, you'll collaborate with Nobel laureates and industry disruptors in an environment that encourages bold thinking. We offer cutting-edge resources, unlimited learning opportunities, and a culture that celebrates intellectual curiosity. Your work will directly influence our 2026 roadmap, positioning us at the forefront of AI evolution.

Responsibilities

  • Lead advanced research in generative AI and neural networks to develop 2026-era applications
  • Design and implement novel algorithms for autonomous systems and predictive analytics
  • Collaborate with cross-functional teams to translate research into scalable production solutions
  • Publish findings in top-tier AI conferences and journals
  • mentor junior researchers and foster a culture of scientific excellence
  • Stay ahead of emerging AI trends and identify disruptive opportunities

Qualifications

  • PhD in Computer Science, AI, or related field with 3+ years of industry experience
  • Proven track record of publishing in top-tier AI conferences (NeurIPS, ICML, ICLR)
  • Expertise in deep learning frameworks (PyTorch, TensorFlow) and distributed computing
  • Strong background in reinforcement learning and multi-agent systems
  • Experience with large-scale model deployment and optimization
  • Exceptional problem-solving skills and ability to communicate complex concepts

Required Skills

Artificial Intelligence Machine Learning Deep Learning Python PyTorch TensorFlow Reinforcement Learning Neural Networks Research

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