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AI Research Scientist - 2026 Vision Lab

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join Nexus Labs as an AI Research Scientist and architect breakthrough technologies that will define 2026. We're pioneering next-generation AI systems to solve humanity's most complex challenges. This role offers unparalleled resources to innovate at the intersection of quantum computing, neural networks, and predictive analytics. You'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art research campus.

We offer competitive equity packages, unlimited R&D budgets, and flexible work arrangements designed for peak innovation. Our culture rewards bold thinking and celebrates paradigm-shifting discoveries.

Responsibilities

  • Design and implement novel AI architectures for autonomous systems
  • Lead cross-functional teams in developing quantum-enhanced ML models
  • Publish breakthrough research in top-tier AI/ML conferences
  • Translate theoretical innovations into scalable production systems
  • Collaborate with ethics teams to ensure responsible AI deployment
  • Secure multi-million dollar research grants from industry partners
  • Mentor PhD researchers and foster next-generation talent

Qualifications

  • PhD in Computer Science, AI, or related field with 5+ years industry experience
  • Proven track record of publishing in NeurIPS, ICML, or equivalent venues
  • Expertise in deep learning frameworks (PyTorch, TensorFlow) and quantum computing
  • Strong background in reinforcement learning and generative adversarial networks
  • Experience with large-scale distributed computing systems (AWS, GCP, Azure)
  • Demonstrated ability to lead high-stakes technical projects from concept to deployment
  • Excellent communication skills for translating complex concepts to diverse stakeholders

Required Skills

Machine Learning Deep Learning Quantum Computing Reinforcement Learning PyTorch TensorFlow Research Leadership Ethics in AI

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