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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

NexusAI Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
9 Juli 2026
Deadline
9 Jul 2027

Job Description

Join NexusAI Solutions at the forefront of technological innovation as we pioneer breakthroughs that will define 2026 and beyond. We're seeking visionary AI Research Scientists to develop next-generation machine learning models that solve humanity's most complex challenges. Our collaborative environment empowers you to push boundaries while working with industry-leading experts and cutting-edge infrastructure.

As part of our elite research team, you'll contribute to projects spanning quantum computing integration, autonomous systems evolution, and ethical AI frameworks. We offer competitive compensation, comprehensive benefits, and the opportunity to shape the future of artificial intelligence.

Responsibilities

  • Design and implement advanced neural architectures for next-generation AI systems
  • Lead cross-functional research initiatives in quantum machine learning and edge AI
  • Develop novel algorithms for real-time data processing and predictive analytics
  • Collaborate with engineering teams to translate research into production-ready solutions
  • Author peer-reviewed publications and patents in emerging AI domains
  • Mentor junior researchers and foster innovation through knowledge sharing
  • Ensure ethical AI development through rigorous bias testing and transparency protocols

Qualifications

  • PhD in Computer Science, Machine Learning, or related field (or equivalent experience)
  • 5+ years of research experience in advanced AI/ML systems
  • Expertise in deep learning frameworks (PyTorch, TensorFlow) and distributed computing
  • Published work in top-tier AI conferences (NeurIPS, ICML, CVPR)
  • Strong background in quantum computing algorithms or neuromorphic systems
  • Proven ability to translate theoretical research into practical applications
  • Experience with MLOps and scalable AI deployment architectures
  • Demonstrated leadership in cross-disciplinary research initiatives

Required Skills

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

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