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Senior AI Research Scientist | Project 2026

Nebula Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Are you ready to define the future of intelligence? Nebula Dynamics is seeking a visionary Senior AI Research Scientist to join our elite Project 2026 team. We are building the next generation of artificial general intelligence, and we need a pioneer like you to lead our research initiatives.

In this pivotal role, you will not just use existing models; you will architect the foundational algorithms that will power the technology of 2026 and beyond. You will work in a high-performance environment, collaborating with world-class engineers and data scientists to solve the hardest problems in machine learning.

Why join Project 2026?

  • Work on cutting-edge AI that shapes global industries.
  • Competitive equity and benefits package.
  • Flexible remote-first culture with state-of-the-art equipment.

If you are driven by curiosity and have a passion for pushing the boundaries of what is possible, we want to hear from you.

Responsibilities

  • Lead the research and development of novel machine learning architectures specifically tailored for scalable, long-term autonomous systems.
  • Design and implement rigorous experimental pipelines to validate new theories and algorithms.
  • Collaborate with cross-functional teams to translate theoretical research into scalable production models.
  • Publish high-impact research papers in top-tier AI conferences (NeurIPS, ICML, ICLR).
  • Identify and mitigate risks associated with model bias, robustness, and interpretability.
  • Mentor junior researchers and data scientists, fostering a culture of innovation and excellence.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Mathematics, or a related quantitative field.
  • 5+ years of experience in machine learning, deep learning, or natural language processing.
  • Proven track record of publishing research in peer-reviewed venues.
  • Expert proficiency in Python, PyTorch, or TensorFlow.
  • Strong understanding of distributed systems and large-scale data processing.
  • Demonstrated ability to thrive in fast-paced, high-stakes environments.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning Natural Language Processing Distributed Systems Research Ph.D.

Ready to Take This Challenge?

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