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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 technological evolution as we pioneer breakthrough AI systems for 2026 and beyond. We're seeking visionary researchers to develop next-generation machine learning models that will redefine industries. Our collaborative environment combines academic rigor with startup agility, offering unparalleled resources to transform theoretical concepts into real-world solutions.

As a cornerstone of our Future Intelligence Division, you'll work alongside Nobel laureates and Silicon Valley veterans in state-of-the-art labs. We offer competitive equity packages, flexible hybrid work arrangements, and dedicated R&D budgets to accelerate your research impact.

Responsibilities

  • Design and implement novel deep learning architectures for autonomous systems
  • Lead cross-functional projects integrating quantum computing with neural networks
  • Publish breakthrough research in top-tier AI conferences (NeurIPS, ICML)
  • Collaborate with product teams to commercialize research findings
  • Mentor junior researchers and drive innovation workshops
  • Secure $2M+ in annual research grants and partnerships
  • Develop ethical AI frameworks for 2026 regulatory compliance

Qualifications

  • PhD in Computer Science, AI, or related field (or equivalent experience)
  • 5+ years developing production-grade ML systems
  • Published record in top-tier AI/ML conferences
  • Expertise in transformer architectures and diffusion models
  • Proficiency in PyTorch, TensorFlow, and distributed computing
  • Strong background in reinforcement learning for robotics
  • Experience securing federal research grants (NSF, DARPA)
  • Demonstrated ability to translate research into market-ready solutions

Required Skills

Artificial Intelligence Machine Learning Deep Learning PyTorch TensorFlow Quantum Computing Reinforcement Learning Research Data Science

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