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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

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

Job Description

Join QuantumLeap Innovations at the forefront of technological evolution! We're pioneering next-gen AI systems that will redefine industries by 2026. As an AI Research Scientist, you'll collaborate with world-class engineers to develop transformative solutions in autonomous systems, quantum-computing integration, and ethical AI frameworks. Our state-of-the-art lab in San Francisco offers unparalleled resources to turn visionary concepts into reality.

We believe in nurturing talent through flexible schedules, unlimited learning stipends, and equity-driven compensation. Shape the future with us!

Responsibilities

  • Lead cutting-edge research in deep learning architectures and neural network optimization
  • Develop novel algorithms for real-time data processing in edge computing environments
  • Collaborate with quantum computing teams to hybridize AI models for exponential performance gains
  • Author peer-reviewed publications and patents in top-tier conferences/journals
  • Mentor junior researchers through our innovation incubator program
  • Ensure ethical AI compliance through bias mitigation and transparency frameworks
  • Translate theoretical models into scalable production systems with engineering partners

Qualifications

  • PhD in Computer Science, Mathematics, or related field (or equivalent research experience)
  • 5+ years of applied ML/AI research with publications at NeurIPS/ICML/ICLR
  • Expertise in PyTorch/TensorFlow and distributed computing frameworks
  • Proven track record of deploying research models at scale (>10M users)
  • Strong background in reinforcement learning or generative adversarial networks
  • Experience with quantum machine learning algorithms
  • Excellent communication skills with ability to articulate complex concepts

Required Skills

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

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