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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

Nexus Innovations
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join Nexus Innovations at the forefront of artificial intelligence development. We're pioneering solutions that will redefine industries by 2026, seeking visionary AI Research Scientists to architect next-generation neural networks and quantum-enhanced algorithms. Our state-of-the-art lab in San Francisco offers unparalleled resources to transform theoretical concepts into breakthrough applications. Collaborate with Nobel laureates and industry disruptors in an environment where innovation thrives. We offer competitive equity packages, flexible work arrangements, and comprehensive wellness benefits.

Responsibilities

  • Design and implement cutting-edge machine learning models for predictive analytics and autonomous systems
  • Lead research initiatives in quantum machine learning and neuromorphic computing
  • Develop scalable AI infrastructure supporting real-time data processing at petabyte scale
  • Publish high-impact research in top-tier journals and conferences
  • Mentor junior researchers and cross-functional engineering teams
  • Collaborate with product teams to translate research into commercial applications
  • Secure patents and intellectual property for novel AI methodologies

Qualifications

  • PhD in Computer Science, Mathematics, or related field with 3+ years industry experience
  • Expertise in deep learning frameworks (TensorFlow, PyTorch) and distributed computing
  • Published research in top-tier AI/ML conferences (NeurIPS, ICML, CVPR)
  • Strong background in quantum computing principles or neuromorphic engineering
  • Proficiency in Python, C++, and high-performance computing environments
  • Demonstrated ability to lead complex research projects from conception to deployment
  • Experience with MLOps pipelines and model lifecycle management
  • Strong communication skills for technical and non-technical stakeholders

Required Skills

Artificial Intelligence Machine Learning Quantum Computing Deep Learning Neural Networks Python TensorFlow PyTorch Distributed Computing MLOps Research

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