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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist - 2026 Vision

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

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We're seeking an AI Research Scientist to develop cutting-edge machine learning models that will redefine industries. Our state-of-the-art facility in San Francisco fosters collaboration between quantum computing experts, neural network architects, and data visionaries. You'll work on projects that directly impact global sustainability, healthcare automation, and next-generation human-computer interfaces. We offer competitive equity packages, unlimited PTO, and a culture where your breakthrough ideas become reality.

Responsibilities

  • Design and implement novel deep learning architectures for predictive analytics
  • Lead cross-functional R&D teams in prototyping quantum-AI hybrid systems
  • Publish breakthrough research in top-tier AI conferences (NeurIPS, ICML, ICLR)
  • Translate theoretical models into scalable production-grade solutions
  • Collaborate with futurists to define ethical frameworks for autonomous systems
  • Secure external funding through NSF and DARPA grant applications
  • Mentor junior researchers in advanced ML optimization techniques

Qualifications

  • PhD in Machine Learning, Computer Science, or related field (or equivalent experience)
  • 5+ years of experience with transformer architectures and reinforcement learning
  • Published record in top-tier AI conferences with 50+ citations
  • Proficiency in PyTorch/TensorFlow and distributed computing frameworks
  • Expertise in ethical AI governance and bias mitigation strategies
  • Experience securing federal research grants ($1M+)
  • Portfolio demonstrating deployment of production-grade AI systems
  • Strong background in quantum computing fundamentals

Required Skills

Machine Learning Deep Learning PyTorch TensorFlow Quantum Computing Research Ethics Predictive Analytics Reinforcement Learning Distributed Systems

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