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AI Research Scientist - 2026 Vision

NeuroFutures Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join NeuroFutures Labs at the forefront of artificial intelligence innovation as we shape the technological landscape of 2026. We're pioneering next-generation AI systems that will redefine human-computer interaction across healthcare, climate science, and autonomous systems. Our multidisciplinary team of visionaries operates from our state-of-the-art San Francisco campus, where cutting-edge research meets real-world impact.

This role offers unparalleled opportunities to collaborate with Nobel laureates, publish in top-tier journals, and develop patents that will shape the next decade of AI evolution. We provide comprehensive benefits including equity, unlimited learning stipends, and flexible remote work options.

Responsibilities

  • Lead breakthrough research in quantum neural networks and explainable AI systems
  • Develop prototype AI solutions for climate modeling and precision medicine applications
  • Collaborate with hardware teams to optimize AI algorithms for next-gen quantum processors
  • Present findings at premier conferences (NeurIPS, ICML, CVPR) and publish in Nature/Science journals
  • Mentor junior researchers and supervise PhD interns in our 2026 Innovation Fellowship program
  • Secure $5M+ in annual research grants from DARPA, NSF, and industry partners

Qualifications

  • PhD in Computer Science, Machine Learning, or related field with 3+ years postdoc experience
  • Published record in top-tier AI/ML conferences (NeurIPS, ICML, ICLR)
  • Expertise in transformer architectures, reinforcement learning, and federated learning
  • Proficiency in PyTorch/TensorFlow and distributed computing frameworks
  • Demonstrated experience with quantum computing frameworks (Qiskit, Cirq)
  • Strong track record of translating research into commercial applications
  • Ability to secure competitive research funding

Required Skills

Machine Learning Deep Learning Quantum Computing Research Python PyTorch TensorFlow Reinforcement Learning Quantum Neural Networks

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