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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist 2026

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join Nexus Innovations at the forefront of 2026's AI revolution. We're seeking visionary researchers to develop next-generation artificial intelligence systems that will redefine industries. Our multidisciplinary team operates at the intersection of quantum computing, neural networks, and human-computer interaction. This role offers unparalleled resources to pioneer breakthroughs in generative AI, autonomous systems, and ethical AI frameworks. Benefit from our state-of-the-art research labs, collaborative environment, and direct partnership with leading academic institutions. Shape the future of intelligent technology while enjoying competitive compensation and comprehensive benefits including equity in our fast-growing unicorn startup.

Responsibilities

  • Lead research initiatives in advanced neural architectures and quantum-optimized machine learning models
  • Develop novel generative AI systems capable of autonomous innovation and human-level reasoning
  • Collaborate with cross-functional teams to integrate AI solutions into production environments
  • Publish groundbreaking research in top-tier AI conferences and journals
  • Establish ethical frameworks for next-generation autonomous decision-making systems
  • Secure external funding through government grants and industry partnerships
  • Mentor junior researchers and foster a culture of intellectual curiosity

Qualifications

  • PhD in Computer Science, Machine Learning, or related field with 3+ years of research experience
  • Published work in NeurIPS, ICML, or equivalent tier conferences
  • Expertise in transformer architectures, reinforcement learning, and distributed computing
  • Proficiency with PyTorch/TensorFlow and high-performance computing environments
  • Strong background in ethics, bias mitigation, and responsible AI development
  • Experience securing NSF grants or corporate R&D funding
  • Ability to translate complex research concepts into practical applications

Required Skills

Machine Learning Quantum Computing Neural Networks Generative AI Reinforcement Learning PyTorch Research Ethics Distributed Systems

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