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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

Nexus Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

Join Nexus Dynamics at the forefront of technological innovation as we pioneer solutions for 2026 and beyond. We seek a visionary AI Research Scientist to develop transformative machine learning models that will redefine industries. Collaborate with elite teams in our state-of-the-art San Francisco lab, where your work will directly impact autonomous systems, quantum computing integration, and ethical AI frameworks. This is your opportunity to shape the future while receiving industry-leading compensation and resources.

Responsibilities

  • Design and implement novel deep learning architectures for next-gen autonomous systems
  • Lead cross-functional R&D projects integrating quantum computing with classical AI
  • Develop ethical AI frameworks ensuring responsible deployment in critical infrastructure
  • Publish breakthrough research in top-tier AI/ML conferences and journals
  • Mentor junior researchers and drive innovation through agile methodologies
  • Collaborate with product teams to translate research into commercial applications
  • Secure external funding through NSF and DARPA grant applications

Qualifications

  • PhD in Computer Science, AI, or related field with 5+ years industry experience
  • Proven expertise in transformer architectures, reinforcement learning, and federated learning
  • Strong publication record at NeurIPS/ICML/ICLR or equivalent tier conferences
  • Proficiency in PyTorch, TensorFlow, and distributed computing frameworks
  • Experience with quantum machine learning algorithms and hardware integration
  • Demonstrated ability to lead multi-disciplinary technical teams
  • Deep understanding of AI ethics, bias mitigation, and regulatory compliance
  • Patents or open-source contributions in advanced AI systems preferred

Required Skills

Machine Learning Deep Learning Quantum Computing Reinforcement Learning Ethical AI PyTorch TensorFlow Distributed Systems Research Leadership

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