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Information Technology 🏒 Full Time ⭐️ Verified

Future AI Research Scientist - 2026 Trajectory

Nebula AI
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Are you ready to define the technological landscape of 2026 and beyond? Nebula AI is pioneering the next generation of Artificial General Intelligence (AGI) and is seeking a visionary AI Research Scientist to join our elite R&D team. You will be at the forefront of developing scalable, safe, and ethical AI systems that will redefine human-machine interaction. If you possess a deep understanding of neural architectures and a passion for solving unsolved problems in machine learning, we want to hear from you.

Responsibilities

  • Architect and train state-of-the-art Large Language Models (LLMs) tailored for enterprise applications.
  • Research novel deep learning architectures to improve model efficiency and reduce inference latency.
  • Collaborate with cross-functional engineering teams to integrate cutting-edge models into production pipelines.
  • Conduct rigorous experimentation and evaluation of new algorithms to validate performance benchmarks.
  • Define the technical roadmap for AI capabilities leading up to the 2026 release cycle.
  • Mentor junior researchers and contribute to the scientific community through publications and patents.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related quantitative field.
  • Proven experience in deep learning frameworks such as PyTorch, TensorFlow, or JAX.
  • Strong background in Natural Language Processing (NLP) and Generative AI models.
  • Experience with distributed computing systems and GPU optimization (CUDA).
  • Excellent problem-solving skills and the ability to work in a fast-paced, agile environment.
  • Strong communication skills to translate complex technical concepts for diverse stakeholders.

Required Skills

Python PyTorch TensorFlow NLP LLMs Generative AI Deep Learning CUDA Distributed Systems Machine Learning

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