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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Research Scientist - San Francisco

Nebula Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

We are on the precipice of a technological renaissance. Nebula Dynamics is seeking a visionary Senior AI Research Scientist to lead our initiatives in Generative AI and Long-term Predictive Modeling.

As we architect the digital infrastructure for the year 2026 and beyond, you will define the algorithms that power the next generation of autonomous systems. This is not just a job; it is an opportunity to leave an indelible mark on the future of humanity.

Why Join Us?

  • Work on breakthrough technologies that will define the next decade.
  • Competitive compensation package including equity.
  • Flexible remote-first culture with a hub in the heart of San Francisco.

Responsibilities

  • Lead the architecture and development of cutting-edge Large Language Models (LLMs) and Multimodal systems.
  • Publish high-impact research papers and contribute to the open-source community to advance the field of Artificial General Intelligence (AGI).
  • Mentor a team of elite data scientists and researchers, fostering a culture of innovation and excellence.
  • Collaborate cross-functionally with engineering and product teams to translate theoretical research into scalable, production-grade software.
  • Optimize model performance for latency, throughput, and energy efficiency in distributed environments.
  • Identify emerging AI trends and opportunities to drive competitive advantage for Nebula Dynamics.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related quantitative field (or equivalent practical experience).
  • 5+ years of experience in research roles within top-tier tech companies or leading AI research labs.
  • Proficiency in Python, C++, and deep learning frameworks (PyTorch, TensorFlow, JAX).
  • Strong track record of publishing in prestigious conferences (NeurIPS, ICML, ICLR) or arXiv.
  • Deep understanding of transformer architectures, reinforcement learning, and neural network optimization.

Required Skills

Python PyTorch TensorFlow Deep Learning NLP Machine Learning Research Algorithm Design SQL

Ready to Take This Challenge?

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