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AI/ML Research Scientist (2026 Innovation)

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

Job Description

Join QuantumLeap Labs at the forefront of 2026's technological revolution! We're seeking an AI/ML Research Scientist to architect next-generation intelligent systems that will redefine industries. As a key innovator in our R&D division, you'll develop breakthrough algorithms in quantum computing, neural networks, and autonomous systems while collaborating with Nobel laureates and Silicon Valley pioneers. Our state-of-the-art facility offers unlimited compute resources and a culture where unconventional thinking fuels exponential progress.

Benefits include equity grants, unlimited learning stipends, and flexible work arrangements designed for peak creativity. Shape the future with us.

Responsibilities

  • Design and implement novel ML architectures for quantum-enhanced computing systems
  • Lead cross-functional projects integrating AI with biotech and renewable energy solutions
  • Publish 3+ peer-reviewed papers in top-tier AI/ML journals annually
  • Mentor junior researchers in cutting-edge techniques like federated learning
  • Develop proprietary frameworks for ethical AI deployment in regulated industries
  • Collaborate with product teams to commercialize research breakthroughs

Qualifications

  • PhD in Computer Science, AI, or related field with 5+ years industry experience
  • Published research in NeurIPS/ICML/ICLR with 500+ citations
  • Expertise in PyTorch/TensorFlow and quantum computing frameworks (Qiskit)
  • Proven track record of deploying production-scale ML systems at scale
  • Strong background in reinforcement learning and generative models
  • Experience with ethical AI frameworks and bias mitigation techniques
  • Ability to translate complex research into commercial applications

Required Skills

Machine Learning Quantum Computing Neural Networks PyTorch TensorFlow Reinforcement Learning Generative AI Research Ethics Python

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