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Lead AI Research Scientist - Future Tech

Chronos Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join Chronos Dynamics as we architect the foundational technologies for the 2026 era. We are seeking a visionary Lead AI Research Scientist to lead our cutting-edge Generative AI division.

In this pivotal role, you will define the roadmap for our next-generation Large Language Models (LLMs) and multimodal systems. You will work alongside world-class engineers and researchers to build scalable, ethical, and revolutionary AI solutions that will redefine human-computer interaction.

Why join us? We offer a competitive equity package, remote-first flexibility, and the opportunity to shape the future of technology.

Responsibilities

  • Lead R&D Strategy: Define and execute the research vision for Generative AI models focused on the 2026 technology landscape.
  • Model Architecture: Design, implement, and optimize deep learning architectures for large-scale NLP and vision tasks.
  • Publication & Thought Leadership: Publish high-impact research papers at top-tier conferences (NeurIPS, ICML, ICLR) and contribute to open-source communities.
  • Team Mentorship: Mentor junior researchers and engineers, fostering a culture of innovation and continuous learning.
  • Collaboration: Partner with product teams to translate research breakthroughs into scalable production-ready features.
  • Technical Oversight: Ensure code quality, model robustness, and adherence to safety and ethical AI guidelines.

Qualifications

  • Education: PhD or Master’s degree in Computer Science, Mathematics, or a related field with a focus on AI/ML.
  • Experience: 5+ years of experience in deep learning, with at least 2 years in a leadership or senior research role.
  • Technical Skills: Proficiency in Python, PyTorch, or TensorFlow; extensive knowledge of transformer architectures (BERT, GPT, etc.).
  • Research: Strong publication record in top AI conferences or patents in relevant technologies.
  • Communication: Exceptional ability to communicate complex technical concepts to both technical and non-technical stakeholders.
  • Passion: Deep passion for the future of AI and the potential of technology to solve complex global problems.

Required Skills

Python PyTorch TensorFlow Deep Learning NLP LLMs Generative AI Machine Learning Research San Francisco

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