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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist - 2026 Vision

QuantumLeap Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join QuantumLeap Labs as we pioneer the next wave of artificial intelligence solutions for 2026 and beyond. We're seeking visionary AI Research Scientists to develop cutting-edge machine learning models that will redefine industries. Our state-of-the-art research facility in San Francisco offers unparalleled resources for innovation, including quantum computing access and petabyte-scale datasets. This role empowers you to lead breakthrough research in generative AI, neural networks, and ethical AI deployment while collaborating with Nobel laureates and Turing Award winners. We provide competitive compensation, equity packages, and unlimited learning opportunities to accelerate your impact.

Responsibilities

  • Design and implement novel deep learning architectures for next-generation AI applications
  • Lead research initiatives in generative AI and multimodal systems
  • Publish breakthrough findings in top-tier conferences (NeurIPS, ICML, CVPR)
  • Collaborate with engineering teams to translate research into production-ready solutions
  • Develop ethical AI frameworks and bias mitigation strategies
  • Mentor junior researchers and drive innovation through hackathons
  • Secure competitive research grants and industry partnerships

Qualifications

  • PhD in Computer Science, AI, or related field with 3+ years industry experience
  • Proven track record of publishing in top-tier AI conferences
  • Expertise in PyTorch/TensorFlow and distributed training frameworks
  • Strong background in reinforcement learning or generative adversarial networks
  • Experience with large-scale ML systems and cloud platforms (AWS/GCP)
  • Excellent communication skills for technical and non-technical audiences
  • Portfolio demonstrating open-source contributions or patented innovations

Required Skills

Machine Learning Deep Learning Python PyTorch TensorFlow Reinforcement Learning Generative AI Research Quantum Computing Distributed Systems

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