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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist - 2026 Vision

QuantumLeap Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
21 Mei 2026
Deadline
21 Mei 2027

Job Description

Join QuantumLeap Labs at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We're seeking an AI Research Scientist to develop transformative algorithms that will shape the next generation of intelligent systems. In this role, you'll collaborate with world-class researchers to push the boundaries of machine learning, neural networks, and quantum-inspired computing. Our state-of-the-art facility in San Francisco offers unparalleled resources for experimentation and innovation. If you're passionate about creating the future of AI, this is your opportunity to make history.

Responsibilities

  • Design and implement advanced AI models for autonomous systems and predictive analytics
  • Lead research initiatives in quantum machine learning and hybrid neural networks
  • Collaborate with cross-functional teams to prototype and deploy cutting-edge solutions
  • Publish findings in top-tier journals and present at global conferences
  • Develop ethical frameworks for AI deployment in regulated industries
  • Secure competitive research grants and partnerships with academic institutions
  • Mentor junior researchers and foster a culture of scientific excellence

Qualifications

  • PhD in Computer Science, AI, or related field with 3+ years of research experience
  • Expertise in deep learning frameworks (TensorFlow, PyTorch) and quantum computing principles
  • Published record in top-tier AI/ML conferences (NeurIPS, ICML, ICLR)
  • Strong background in algorithm optimization and distributed computing systems
  • Experience with large-scale data processing and cloud platforms (AWS, GCP)
  • Proven ability to translate research into practical applications
  • Excellent communication skills and ability to articulate complex concepts

Required Skills

Machine Learning Quantum Computing Neural Networks TensorFlow PyTorch Algorithm Optimization Distributed Systems Research Leadership

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