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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
9 Juli 2026
Deadline
9 Jul 2027

Job Description

Join Nexus Labs at the forefront of 2026's technological revolution. We're pioneering AI systems that will redefine human-machine collaboration, and we need visionary researchers to architect the future. As an AI Research Scientist, you'll develop breakthrough algorithms in generative AI, quantum-inspired machine learning, and ethical AI frameworks. Work in our state-of-the-art lab with unlimited compute resources and collaborate with Nobel laureates and industry disruptors. This is your chance to solve humanity's grandest challenges while shaping the technological landscape of tomorrow.

Responsibilities

  • Design and implement novel AI architectures for 2026-era applications
  • Lead cross-functional projects in quantum machine learning and neural-symbolic integration
  • Publish groundbreaking research in top-tier AI conferences (NeurIPS, ICML, ICLR)
  • Develop ethical AI frameworks ensuring alignment with human values
  • Mentor junior researchers and collaborate with industry partners
  • Secure government and private funding for cutting-edge projects
  • Translate theoretical breakthroughs into scalable production systems

Qualifications

  • PhD in Computer Science, AI, or related field with 3+ years research experience
  • Published record in top-tier AI/ML conferences
  • 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 (AWS/GCP/Azure)
  • Proven ability to lead research teams and secure grants
  • Passion for ethical AI development and human-centered design
  • Excellent communication skills for technical and non-technical audiences

Required Skills

Machine Learning Deep Learning Quantum Computing Reinforcement Learning Generative AI Ethical AI PyTorch TensorFlow Distributed Systems Research Leadership

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