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Senior AI Research Scientist - Project 2026

Nebula Future Technologies
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 trajectory of artificial intelligence? At Nebula Future Technologies, we are building the infrastructure for the future with our flagship initiative, Project 2026. We are seeking a visionary Senior AI Research Scientist to lead the development of next-generation Large Language Models (LLMs) aimed at revolutionizing human-computer interaction by the year 2026.

As a key member of our elite R&D division, you will have the autonomy to explore the frontiers of deep learning, optimize neural architectures, and collaborate with world-class engineers and ethicists. This is not just a job; it is an opportunity to shape the technological landscape of the next decade.

Responsibilities

  • Lead the architecture, training, and deployment of proprietary AI models for Project 2026.
  • Conduct cutting-edge research in Natural Language Processing (NLP), Deep Learning, and Generative AI.
  • Optimize model performance for speed, accuracy, and scalability in high-volume environments.
  • Collaborate with cross-functional teams to integrate advanced AI solutions into consumer and enterprise products.
  • Stay ahead of industry trends by analyzing emerging research papers and technologies.
  • Mentor junior researchers and contribute to the technical vision of the organization.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • Proven experience with Python, PyTorch, TensorFlow, or JAX.
  • Strong publication record in top-tier AI conferences (NeurIPS, ICML, ACL, etc.).
  • Extensive experience working with Large Language Models (e.g., GPT, Llama, BERT).
  • Demonstrated expertise in fine-tuning, RLHF (Reinforcement Learning from Human Feedback), and model evaluation.
  • Excellent communication skills with the ability to explain complex technical concepts to diverse audiences.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP LLM AI Research Natural Language Processing CUDA Model Optimization Reinforcement Learning

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