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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

Nexus Innovations Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join Nexus Innovations Inc. at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. As an AI Research Scientist, you'll architect groundbreaking algorithms that will redefine industries and shape tomorrow's digital landscape. Collaborate with Nobel laureates and disruptors in our state-of-the-art San Francisco hub, where innovation meets impact.

We offer unparalleled resources, competitive equity packages, and a culture that rewards intellectual curiosity. Your work will directly influence projects spanning quantum computing, autonomous systems, and human-AI collaboration – positioning you at the epicenter of the next technological revolution.

Responsibilities

  • Design and implement advanced machine learning models for next-gen autonomous systems
  • Lead cross-functional R&D initiatives focused on ethical AI development
  • Publish breakthrough research in top-tier journals/conferences (NeurIPS, ICML)
  • Mentor junior researchers and drive innovation in quantum-AI hybrid systems
  • Collaborate with product teams to commercialize research into scalable solutions
  • Secure patents for novel AI methodologies with 2026 market applications
  • Present findings to C-suite executives and industry consortiums

Qualifications

  • PhD in Computer Science, Machine Learning, or related field (or equivalent experience)
  • 5+ years of industry research experience with 3+ years in AI/ML
  • Published record in top-tier AI conferences/journals (NeurIPS, CVPR, etc.)
  • Expertise in deep learning frameworks (PyTorch, TensorFlow) and distributed computing
  • Strong background in reinforcement learning or generative models
  • Demonstrated ability to translate research into production systems
  • Experience with ethical AI frameworks and bias mitigation techniques
  • Preferred: Background in quantum computing or neuromorphic systems

Required Skills

Machine Learning Deep Learning Python PyTorch TensorFlow Quantum Computing Reinforcement Learning Generative AI Distributed Systems Research AI Ethics

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