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Senior AI Research Engineer (2026)

NexusAI Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
26 Mei 2026
Deadline
26 Mei 2027

Job Description

Join NexusAI Labs at the forefront of artificial intelligence innovation as we pioneer breakthrough solutions for 2026 and beyond. We're seeking a visionary Senior AI Research Engineer to develop next-generation neural architectures and autonomous systems that will redefine industries. Our cutting-edge research lab combines quantum computing principles with advanced machine learning to solve humanity's most complex challenges.

In this role, you'll collaborate with Nobel laureates and industry pioneers to transform theoretical concepts into practical applications. We offer unparalleled resources, including our proprietary quantum-ML hybrid supercluster and unlimited research budgets. This is your opportunity to shape the future of AI while enjoying world-class benefits including equity, unlimited PTO, and flexible remote work options.

Responsibilities

  • Design and implement novel deep learning architectures for autonomous decision-making systems
  • Lead research projects combining quantum computing with neural networks for exponential performance gains
  • Develop ethical AI frameworks ensuring alignment with human values and regulatory standards
  • Collaborate with cross-functional teams to deploy AI solutions in healthcare, climate modeling, and space exploration
  • Mentor junior researchers and publish findings in top-tier AI journals and conferences
  • Drive innovation in federated learning and zero-shot generalization techniques
  • Participate in patent development for proprietary AI methodologies

Qualifications

  • PhD in Computer Science, AI, or related field with 5+ years industry experience
  • Expertise in PyTorch/TensorFlow with 10+ production-level AI deployments
  • Published research at NeurIPS/ICML/ICLR with >500 citations
  • Strong background in quantum machine learning and algorithm optimization
  • Experience with MLOps pipelines and distributed training frameworks
  • Proficiency in C++/Rust for high-performance AI system implementation
  • Demonstrated ability to lead multi-disciplinary research teams

Required Skills

Python PyTorch Quantum Computing MLOps Federated Learning Neural Architecture Search Ethics in AI C++

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