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Senior AI Research Lead: Shaping the 2026 Landscape | San Francisco, CA

Quantum Horizon Corp
San Francisco
Estimated Salary
USD 150.000 – USD 220.000
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

We are Quantum Horizon Corp, a pioneering think-tank and technology firm dedicated to mapping the trajectory of artificial intelligence through the 2026 horizon. We are looking for a visionary Senior AI Research Lead to spearhead our strategic initiatives in Generative AI, Neural Architecture, and Predictive Modeling.


In this role, you will not just follow trends; you will define them. You will collaborate with a world-class team of engineers, ethicists, and futurists to build the foundational models that will power the next decade of human-machine interaction. If you are obsessed with the intersection of code, strategy, and the future, we want to hear from you.


Why Join Us?
β€’ Competitive salary and equity package.
β€’ Access to cutting-edge hardware and datasets.
β€’ Work on problems that define the future of humanity.

Responsibilities

  • Define and execute the long-term technical roadmap for AI research initiatives targeting the 2026 market landscape.
  • Lead a cross-functional team of data scientists and engineers to develop scalable neural network architectures.
  • Conduct in-depth research on emerging AI paradigms, including Large Language Models (LLMs) and Autonomous Agents.
  • Bridge the gap between theoretical research and practical product application to drive commercial value.
  • Establish ethical guidelines and safety protocols for high-stakes AI deployments.
  • Present research findings and strategic vision to executive leadership and external stakeholders.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 10+ years of experience in AI/ML research, with at least 5 years in a leadership or senior technical role.
  • Proven track record of publishing in top-tier conferences (NeurIPS, ICML, CVPR) or holding patents in AI technologies.
  • Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks.
  • Strong understanding of AI ethics, bias mitigation, and responsible AI governance.
  • Excellent communication skills with the ability to translate complex technical concepts into business strategy.

Required Skills

Artificial Intelligence Machine Learning Deep Learning Python PyTorch TensorFlow Research Leadership Strategic Planning Neural Networks NLP

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