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Senior AI Research Scientist (2026 Roadmap)

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

Job Description

The Future of Intelligence Starts Here.

We are seeking a visionary Senior AI Research Scientist to join our elite R&D division. As we approach the pivotal year of 2026, we are building the foundational architectures for the next generation of Generative AI and Autonomous Systems. If you possess the intellect to push the boundaries of Deep Learning and the drive to define the industry standards for the coming decade, this is your moment.

Why Join Us?

At Nebula Horizon Labs, we don't just follow trends; we set them. You will work in a state-of-the-art facility with unlimited compute resources, collaborating with world-class engineers to solve problems that currently seem impossible. Our 2026 roadmap focuses on scaling LLMs, enhancing reasoning capabilities, and integrating AI into physical world applications.

Responsibilities

  • Lead High-Impact Research: Drive the research and development of cutting-edge Generative AI models, specifically targeting 2026 release milestones.
  • Architect Scalable Systems: Design and optimize deep neural network architectures for superior performance and efficiency.
  • Prototype & Deploy: Move research from theoretical papers to production-ready code, ensuring robustness and scalability.
  • Collaborate Across Disciplines: Partner with product teams and hardware engineers to integrate AI solutions into consumer and enterprise applications.
  • Mentorship: Guide junior researchers and data scientists, fostering a culture of innovation and technical excellence.

Qualifications

  • Education: Ph.D. or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
  • Technical Mastery: Deep expertise in Python, PyTorch, and TensorFlow. Proven experience with Large Language Models (LLMs) and Transformers.
  • Experience: 5+ years of experience in AI research or software engineering, with a track record of publishing in top-tier conferences (NeurIPS, ICML, ICLR).
  • Problem Solving: Exceptional ability to tackle novel problems and derive mathematical proofs for model behaviors.
  • Soft Skills: Strong communication skills, capable of translating complex technical concepts for diverse stakeholders.

Required Skills

Python PyTorch TensorFlow Large Language Models Generative AI Deep Learning Hugging Face CUDA MLOps Natural Language Processing

Ready to Take This Challenge?

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