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AI Research Scientist - 2026 Vision

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join Nexus Labs at the forefront of 2026's technological revolution. We're pioneering AI systems that will redefine industries, and we need visionary minds to shape tomorrow. As an AI Research Scientist, you'll develop cutting-edge algorithms, collaborate with Nobel laureates, and solve humanity's grandest challenges through machine learning. Our state-of-the-art facility in San Francisco offers unparalleled resources for groundbreaking research, with flexible hybrid work and competitive benefits including equity in our unicorn-status company.

About Nexus Labs: We're a 200-person AI research powerhouse with $500M+ in funding, specializing in quantum-entangled neural networks and ethical AI frameworks. Our work directly impacts sectors from healthcare to climate science, and we're expanding our research team to meet 2026's exponential growth demands.

Responsibilities

  • Design and implement novel deep learning architectures for next-generation AI systems
  • Lead cross-functional research projects in quantum computing and AI ethics
  • Develop scalable ML pipelines processing petabytes of real-time data
  • Publish breakthrough research in top-tier AI/ML conferences (NeurIPS, ICML)
  • Mentor junior researchers and contribute to patent development
  • Collaborate with product teams to commercialize research innovations

Qualifications

  • PhD in Computer Science, AI, or related field (or equivalent experience)
  • 5+ years of applied ML research with 20+ peer-reviewed publications
  • Expertise in PyTorch/TensorFlow and distributed computing frameworks
  • Proven track record of deploying production-level AI systems
  • Strong background in quantum computing or ethical AI frameworks
  • Exceptional problem-solving skills for complex multidisciplinary challenges
  • Experience with cloud platforms (AWS/GCP) and MLOps tools

Required Skills

Artificial Intelligence Machine Learning Deep Learning Quantum Computing Python PyTorch TensorFlow Research Ethics Distributed Systems

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