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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist - Future Technologies

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

Job Description

Join Quantum Leap Labs at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We're seeking visionary AI Research Scientists to develop groundbreaking neural networks, quantum computing interfaces, and predictive models that will shape the future. Our multidisciplinary team collaborates in state-of-the-art labs where innovation meets implementation. If you're passionate about solving humanity's most complex challenges through cutting-edge AI, this is your moment to make history.

Responsibilities

  • Design and implement next-generation AI architectures for autonomous systems and predictive analytics
  • Lead quantum machine learning research bridging classical AI with quantum computing paradigms
  • Develop ethical AI frameworks ensuring responsible deployment of advanced technologies
  • Collaborate with cross-functional teams to prototype and validate AI solutions in real-world scenarios
  • Publish research in top-tier journals and present findings at global technology conferences
  • Mentor junior researchers and contribute to our open-source innovation ecosystem

Qualifications

  • PhD in Computer Science, AI, or related field with 3+ years of industry experience
  • Expertise in deep learning frameworks (PyTorch/TensorFlow) and quantum computing principles
  • Published research in neural networks, natural language processing, or computer vision
  • Proficiency in Python, C++, and high-performance computing environments
  • Strong background in ethical AI development and bias mitigation techniques
  • Experience with large-scale distributed systems and cloud deployment (AWS/GCP)
  • Proven ability to translate theoretical research into practical applications

Required Skills

Artificial Intelligence Quantum Computing Machine Learning Neural Networks Python PyTorch Tensorflow Ethics in AI High-Performance Computing

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