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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist - 2026 Visionary

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

Job Description

Join Nexus Innovations at the forefront of technological evolution as we shape the future through groundbreaking AI research. Our 2026 Visionary team pioneers transformative solutions in quantum computing, neural networks, and autonomous systems. We seek passionate innovators who thrive at the intersection of theory and practice to develop next-generation AI frameworks that will redefine human-machine collaboration.

As a cornerstone of our research division, you'll collaborate with Nobel laureates and industry disruptors in an environment that values intellectual curiosity and bold experimentation. Our state-of-the-art facilities in San Francisco's Innovation District provide unparalleled resources for prototyping and scaling revolutionary concepts.

Responsibilities

  • Design and implement advanced AI architectures for complex problem domains
  • Lead cross-functional research initiatives in quantum machine learning
  • Develop novel neural network optimization techniques for edge computing
  • Publish breakthrough research in top-tier AI journals and conferences
  • Mentor junior researchers and foster collaborative innovation culture
  • Translate theoretical models into scalable production-ready solutions
  • Secure federal and private research funding for frontier AI projects

Qualifications

  • PhD in Computer Science, AI, or related field with 3+ years research experience
  • Proven track record of publishing in NeurIPS/ICML/ICLR or equivalent
  • Mastery of deep learning frameworks (PyTorch, TensorFlow) and quantum computing
  • Expertise in reinforcement learning and multi-agent systems
  • Demonstrated ability to lead research teams and secure grants
  • Strong background in computational neuroscience and ethical AI frameworks
  • Experience with large-scale distributed training and MLOps

Required Skills

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

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