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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist - 2026 Visionary

QuantumLeap Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join QuantumLeap Labs at the forefront of AI innovation! We're seeking visionary AI Research Scientists to develop groundbreaking solutions that will redefine industries by 2026. In this role, you'll lead cutting-edge research in machine learning, neural networks, and quantum computing integration. Our collaborative environment empowers you to publish high-impact papers, mentor emerging talent, and transform theoretical concepts into real-world applications that solve humanity's most pressing challenges.

Responsibilities

  • Design and implement novel AI architectures for next-generation autonomous systems
  • Lead cross-functional teams in developing ethical AI frameworks aligned with 2026 technological roadmaps
  • Publish 2-4 peer-reviewed papers annually in top-tier AI conferences
  • Translate research prototypes into production-ready solutions for enterprise clients
  • Mentor junior researchers and contribute to patent development
  • Collaborate with quantum computing teams to explore hybrid AI-quantum algorithms
  • Present findings at international tech summits and industry symposiums

Qualifications

  • PhD in Computer Science, AI, or related field with 5+ years industry experience
  • Expertise in deep learning frameworks (TensorFlow/PyTorch) and distributed computing
  • Proven track record of publishing at NeurIPS/ICML/ICLR or equivalent tier conferences
  • Strong background in reinforcement learning and generative models
  • Experience with quantum machine learning concepts and hybrid systems
  • Proficiency in Python, C++, and cloud-based ML deployment (AWS/GCP/Azure)
  • Demonstrated ability to lead research initiatives from conception to production

Required Skills

Machine Learning Deep Learning Quantum Computing Neural Networks Python TensorFlow PyTorch Reinforcement Learning Generative AI Distributed Systems Cloud Computing

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