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Lead AI Research Scientist (2026 Horizon)

Chronos Systems
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Are you ready to define the landscape of Artificial Intelligence in 2026? Chronos Systems is seeking a visionary Lead AI Research Scientist to spearhead our next-generation AGI initiative. In this role, you won't just be writing code; you will be architecting the future of human-machine interaction.

We are looking for a pioneer who thrives on solving unsolved problems and pushing the boundaries of what is possible with Neural Networks and Quantum Computing integration. Join a team that is redefining efficiency, creativity, and intelligence for the decade ahead.

Why Join Us?
We offer a competitive compensation package, equity opportunities, and a fully remote-first culture designed for high performers. You will have access to the latest hardware and the freedom to explore uncharted territories in machine learning.

Responsibilities

  • Architect and deploy cutting-edge Deep Learning models capable of autonomous reasoning and long-term memory.
  • Lead a high-performing team of research engineers and data scientists in an agile environment.
  • Collaborate closely with product engineering teams to translate theoretical research into production-ready applications.
  • Establish ethical guidelines and safety protocols for advanced AI systems.
  • Publish seminal research papers in top-tier conferences (NeurIPS, ICML, ICLR) to establish industry authority.
  • Conduct experimental analysis to optimize model performance and reduce computational overhead.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related field with a focus on AI/ML.
  • Minimum of 5 years of experience in deep learning, specifically with Transformer architectures and Large Language Models.
  • Proven track record of leading research teams and managing large-scale R&D projects.
  • Expert proficiency in Python, PyTorch, and C++.
  • Strong understanding of reinforcement learning, natural language processing, and computer vision.
  • Demonstrated ability to communicate complex technical concepts to diverse stakeholders.

Required Skills

Python PyTorch TensorFlow Deep Learning NLP Machine Learning AI Research AGI Neural Networks

Ready to Take This Challenge?

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