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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

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

Job Description

Join Nexus Labs at the forefront of artificial intelligence innovation. We're seeking visionary AI Research Scientists to architect breakthrough solutions that will redefine technology by 2026. Our dynamic team operates at the intersection of machine learning, quantum computing, and neuro-symbolic AI, tackling challenges from autonomous systems to personalized medicine. With state-of-the-art labs and unparalleled resources, you'll collaborate with Nobel laureates and industry pioneers to transform theoretical concepts into real-world applications.

As part of our 2026 Innovation Roadmap, you'll drive projects with global impact while enjoying competitive compensation, flexible work arrangements, and continuous learning opportunities. We invest heavily in your growth through sponsored conferences, patent support, and academic partnerships.

Responsibilities

  • Design and implement novel AI architectures for next-generation autonomous systems
  • Lead quantum machine learning research targeting 2026 computational breakthroughs
  • Develop neuro-symbolic frameworks for explainable AI in healthcare diagnostics
  • Collaborate with cross-functional teams to prototype and deploy production-ready AI solutions
  • Publish findings in top-tier journals and present at international conferences
  • Mentor junior researchers and drive open-source contributions to the AI community
  • Secure research funding through grant proposals and industry partnerships

Qualifications

  • PhD in Computer Science, AI, or related field with 3+ years industry research experience
  • Proven expertise in deep learning frameworks (PyTorch/TensorFlow) and quantum computing
  • Publication record in NeurIPS, ICML, or equivalent tier-1 conferences
  • Strong background in reinforcement learning and multi-agent systems
  • Experience with large-scale distributed computing (Kubernetes, Spark)
  • Proficiency in Python, C++, and high-performance optimization techniques
  • Demonstrated ability to translate theoretical research into practical applications

Required Skills

AI Research Machine Learning Quantum Computing Deep Learning Reinforcement Learning Python C++ PyTorch TensorFlow Kubernetes

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