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AI Research Scientist

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
10 Juli 2026
Deadline
10 Jul 2027

Job Description

Join Nexus Future Labs at the forefront of 2026's technological revolution. We're pioneering next-generation AI systems that will redefine human-machine interaction. As an AI Research Scientist, you'll collaborate with Nobel laureates and Turing Award winners to develop breakthrough algorithms in quantum machine learning and neural-symbolic integration. Our state-of-the-art facility in San Francisco offers unparalleled resources including a 500-qubit quantum computing cluster and exascale GPU clusters. We provide comprehensive benefits including equity packages, unlimited learning stipends, and flexible remote work options. Shape the future with us.

Responsibilities

  • Design and implement novel neural architectures for quantum-entangled AI systems
  • Lead cross-functional teams to develop ethical AI frameworks aligned with 2026 regulatory standards
  • Publish groundbreaking research in top-tier journals (Nature AI, Science Robotics)
  • Collaborate with neuroscientists to create brain-computer interface prototypes
  • Optimize large-scale language models for real-time multilingual processing
  • Develop zero-knowledge proof systems for secure AI model deployment
  • Mentor PhD candidates in advanced AI research methodologies

Qualifications

  • PhD in Computer Science, AI, or related field with 5+ years industry experience
  • Published research in top-tier AI conferences (NeurIPS, ICML, ICLR)
  • Expertise in quantum machine learning frameworks (PennyLane, Qiskit)
  • Proficiency in high-performance computing (HPC) environments
  • Strong background in neuromorphic computing and spiking neural networks
  • Experience with federated learning and differential privacy
  • Demonstrated ability to secure $1M+ research grants
  • Fluency in Python, PyTorch, and TensorFlow with C++ optimization skills

Required Skills

Quantum Computing Neural Networks Machine Learning Python TensorFlow PyTorch Quantum Machine Learning Neuromorphic Computing Federated Learning High-Performance Computing

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