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Lead AI Research Scientist - AGI & Future Tech

Horizon AI Systems
San Francisco
Estimated Salary
USD 250.000 – USD 400.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Shape the Intelligence of Tomorrow.

Horizon AI Systems is at the forefront of the 2026 technological revolution. We are seeking a visionary Lead AI Research Scientist to architect the next generation of Artificial General Intelligence (AGI) and autonomous systems. If you are passionate about pushing the boundaries of machine learning and have a deep understanding of the future landscape of technology, we want to hear from you.

Join a world-class team dedicated to solving humanity's most complex challenges through advanced AI research.

Responsibilities

  • Architect Next-Gen AI Models: Lead the research and development of cutting-edge Large Language Models (LLMs) and multi-modal systems designed for 2026 and beyond.
  • Strategic Research Direction: Define the long-term research roadmap, identifying emerging trends in Deep Learning and Neural Architecture Search (NAS).
  • Team Leadership: Mentor a high-performing team of research engineers and data scientists, fostering a culture of innovation and scientific excellence.
  • Publication & Outreach: Author and publish breakthrough papers in top-tier conferences (NeurIPS, ICML, ICLR) and present findings to the global scientific community.
  • Model Deployment: Collaborate with the Engineering division to transition theoretical research into scalable, production-ready AI infrastructure.

Qualifications

  • Education: Ph.D. or Master’s degree in Computer Science, Mathematics, Statistics, or a related field with a focus on AI/ML.
  • Experience: Minimum of 5-7 years of experience in applied machine learning research, with a proven track record of leading high-impact projects.
  • Technical Skills: Deep expertise in Deep Learning frameworks (PyTorch, TensorFlow), Natural Language Processing (NLP), and Reinforcement Learning.
  • Publications: Strong publication record in peer-reviewed journals and conferences.
  • Future-Proof Mindset: Demonstrated ability to anticipate and adapt to the rapidly evolving AI landscape of the near future.

Required Skills

Artificial Intelligence Machine Learning Deep Learning NLP PyTorch TensorFlow AGI Research Leadership Python Neural Networks Big Data

Ready to Take This Challenge?

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