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AI Research Scientist (2026 Vision)

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 2026's technological revolution! We're pioneering quantum-entangled neural networks and autonomous AI governance systems that will redefine human-machine collaboration. As an AI Research Scientist, you'll architect breakthrough solutions in generative intelligence while mentoring our next-gen talent. Our culture combines Silicon Valley innovation with ethical AI principles, offering unparalleled resources to transform theoretical concepts into real-world impact.

Why Nexus Labs? Work alongside Nobel laureates and Turing Award winners in our state-of-the-art quantum computing lab. Enjoy flexible remote options, unlimited learning stipends, and equity in a unicorn-valued startup shaping tomorrow's AI landscape.

Responsibilities

  • Design and implement novel deep learning architectures for next-gen autonomous systems
  • Lead cross-functional teams in developing ethical AI frameworks aligned with 2026 regulatory standards
  • Publish groundbreaking research in top-tier AI/ML conferences (NeurIPS, ICML)
  • Optimize large-scale language models for zero-shot learning and multimodal reasoning
  • Collaborate with quantum computing teams to pioneer hybrid AI-quantum algorithms
  • Mentor junior researchers and drive innovation in responsible AI development

Qualifications

  • PhD in Computer Science, Machine Learning, or related field (or equivalent industry experience)
  • 5+ years in AI research with proven publications in top-tier venues
  • Expertise in PyTorch/TensorFlow and distributed training frameworks
  • Strong background in reinforcement learning and generative adversarial networks
  • Experience with MLOps and productionizing ML systems at scale
  • Deep understanding of AI ethics, bias mitigation, and regulatory compliance
  • Proficiency in C++ and high-performance computing environments

Required Skills

Machine Learning Deep Learning PyTorch TensorFlow Reinforcement Learning Generative AI Quantum Computing MLOps AI Ethics Large Language Models Distributed Systems

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