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AI Research Scientist (2026)

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Join Nexus Labs at the forefront of 2026's technological revolution. We're pioneering next-generation AI systems that redefine human-machine collaboration. As an AI Research Scientist, you'll architect breakthrough solutions in quantum machine learning and autonomous cognition. Our state-of-the-art lab in San Francisco offers unparalleled resources to transform theoretical concepts into reality.

Be part of a team that's solving humanity's grandest challenges through ethical AI innovation. We offer competitive equity packages, flexible work arrangements, and a culture that celebrates intellectual curiosity.

Responsibilities

  • Develop novel quantum algorithms for accelerated neural network training
  • Lead research in multimodal AI systems integrating vision, language, and sensory data
  • Design ethical frameworks for autonomous decision-making protocols
  • Collaborate with hardware engineers to optimize AI-quantum computing interfaces
  • Publish breakthrough research in top-tier AI conferences and journals
  • Mentor junior researchers in advanced machine learning methodologies
  • Translate theoretical models into scalable production-ready architectures

Qualifications

  • PhD in Computer Science, Machine Learning, or related field (or equivalent experience)
  • 5+ years of applied research in quantum computing or neuromorphic AI
  • Expertise in Python, TensorFlow, and PyTorch frameworks
  • Published record in NeurIPS/ICML/ICLR with 15+ citations
  • Proficiency in distributed computing (Spark, Kubernetes) and GPU optimization
  • Strong background in ethical AI governance and bias mitigation
  • Experience with large-scale dataset annotation pipelines
  • Portfolio demonstrating 3+ deployed AI systems with measurable impact

Required Skills

Quantum Computing Neural Networks Multimodal AI Ethics TensorFlow PyTorch Distributed Systems GPU Optimization Research

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