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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist - 2026

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

Job Description

Join Nexus Labs at the forefront of 2026's technological revolution as an AI Research Scientist. We're pioneering quantum-entangled neural networks and generative AI systems that will redefine human-machine collaboration. Our multidisciplinary team of visionaries operates at the intersection of quantum computing, synthetic biology, and decentralized intelligence. This role offers unparalleled opportunities to publish groundbreaking research, collaborate with Nobel laureates, and shape the ethical frameworks for AI autonomy. Enjoy flexible remote work, unlimited R&D budget, and access to our state-of-the-art quantum lab in downtown San Francisco.

Responsibilities

  • Design and implement next-generation AI architectures leveraging quantum-inspired algorithms
  • Lead cross-functional research initiatives in generative adversarial networks and federated learning
  • Develop ethical frameworks for autonomous AI decision-making systems
  • Collaborate with quantum computing teams to optimize neural network training
  • Publish 3+ peer-reviewed papers annually in top-tier AI conferences
  • Mentor junior researchers and patent novel AI methodologies
  • Interface with government and industry stakeholders on AI policy development

Qualifications

  • PhD in Computer Science, AI, or related field with 5+ years research experience
  • Expertise in transformer architectures, reinforcement learning, and quantum computing
  • Proven track record of publishing at NeurIPS/ICML/ICLR conferences
  • Strong programming skills in Python, TensorFlow/PyTorch, and quantum simulators
  • Experience with large-scale distributed computing and GPU optimization
  • Familiarity with ethical AI frameworks (FAIR, EU AI Act compliance)
  • Ability to secure federal research grants (NSF, DARPA, NIH)

Required Skills

Machine Learning Quantum Computing Neural Networks Python TensorFlow PyTorch Research Ethics Distributed Systems

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