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Senior AI Research Scientist - Generative Models

Nebula Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Are you ready to define the future of artificial intelligence? Nebula Dynamics is pioneering the next generation of autonomous agents and multimodal generative models. We are looking for a visionary Senior AI Research Scientist to join our elite engineering team and drive breakthroughs in AI that will shape the landscape of 2026 and beyond.

In this role, you will not just write code; you will architect the intelligence that powers our next-generation platforms. You will work at the intersection of deep learning, natural language processing, and cognitive architecture, pushing the boundaries of what is possible with Large Language Models (LLMs) and reinforcement learning.

Why Join Us?

  • Work on cutting-edge research that directly impacts global industries.
  • Access to top-tier compute resources and state-of-the-art hardware.
  • Competitive compensation and equity packages for key contributors.

Responsibilities

  • Design and implement state-of-the-art deep learning architectures for Generative AI and Large Language Models.
  • Optimize model inference pipelines for low-latency, high-throughput production environments.
  • Conduct rigorous research on ethical AI, bias mitigation, and safety alignment in autonomous agents.
  • Collaborate with cross-functional teams of engineers, product managers, and designers to translate research into scalable products.
  • Publish findings in top-tier academic conferences (NeurIPS, ICML, ICLR) and open-source communities.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related quantitative field.
  • 5+ years of experience in machine learning research, with a focus on NLP or Computer Vision.
  • Strong proficiency in Python, PyTorch, or TensorFlow.
  • Deep understanding of Transformer architectures, attention mechanisms, and fine-tuning methodologies.
  • Experience with distributed training, MLOps, and model serving frameworks (e.g., Ray, Kubernetes).

Required Skills

Python PyTorch TensorFlow NLP Machine Learning Deep Learning LLMs Generative AI Reinforcement Learning MLOps

Ready to Take This Challenge?

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