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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist - 2026 Vision

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

Job Description

Join QuantumLeap Innovations at the forefront of artificial intelligence to shape the technological landscape of 2026. We're seeking visionary AI Research Scientists to pioneer breakthrough solutions in autonomous systems, quantum computing integration, and neural network optimization. Our cross-disciplinary team collaborates in state-of-the-art labs to develop next-gen AI applications that will redefine industries. Enjoy competitive compensation, flexible work arrangements, and unparalleled growth opportunities in one of the world's most dynamic tech ecosystems.

Responsibilities

  • Lead research initiatives in cutting-edge AI domains including generative adversarial networks and federated learning
  • Develop scalable ML models for real-world deployment in autonomous vehicles and smart infrastructure
  • Collaborate with robotics engineers to integrate AI solutions with physical systems
  • Publish findings in top-tier conferences and contribute to open-source frameworks
  • Mentor junior researchers and drive innovation through hackathons and internal R&D projects
  • Secure research funding through NSF and DARPA proposal development

Qualifications

  • PhD in Computer Science, AI, or related field with 3+ years industry experience
  • Expertise in PyTorch/TensorFlow and distributed computing frameworks
  • Published record in NeurIPS/ICML/ICLR or equivalent tier conferences
  • Strong background in reinforcement learning and computer vision
  • Experience with quantum computing APIs or hardware acceleration
  • Proven ability to translate research into commercial applications
  • Excellent communication skills and cross-functional leadership experience

Required Skills

Artificial Intelligence Machine Learning Deep Learning Python PyTorch TensorFlow Quantum Computing Reinforcement Learning Computer Vision Distributed Systems

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