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AI/ML Research Scientist (2026 Vision)

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Shape the future at Nexus Quantum Labs, where we're pioneering the next frontier of artificial intelligence. We seek an exceptional AI/ML Research Scientist to join our elite 2026 Vision Project – a groundbreaking initiative developing autonomous reasoning systems that will redefine human-machine collaboration.

As a core member of our research team, you'll work in a state-of-the-art facility with unlimited computational resources and collaborate with Nobel laureates and industry pioneers. We offer unparalleled professional growth, patent opportunities, and the chance to impact humanity's technological trajectory.

Responsibilities

  • Design and implement novel neural architectures for next-generation reasoning systems
  • Lead cross-functional research initiatives in quantum-ML hybrid computing
  • Develop ethical AI frameworks for autonomous decision-making systems
  • Publish breakthrough research in top-tier AI/ML conferences (NeurIPS, ICML, etc.)
  • Mentor junior researchers and foster collaborative innovation culture
  • Secure research funding through government and industry partnerships
  • Translate theoretical advances into scalable production prototypes

Qualifications

  • PhD in Machine Learning, Computer Science, or Computational Physics
  • 5+ years of published research in deep learning or quantum computing
  • Expertise in PyTorch/TensorFlow with 10B+ parameter model experience
  • Proven track record of NeurIPS/ICML paper acceptance
  • Familiarity with quantum computing frameworks (Qiskit, Cirq)
  • Strong background in reinforcement learning and causal inference
  • Exceptional problem-solving skills for open-ended research challenges
  • US citizenship or permanent residency required for clearance

Required Skills

Machine Learning Deep Learning Quantum Computing PyTorch TensorFlow Research Neural Networks AI Ethics

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