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Senior AI Research Scientist: Architecting the 2026 Future | San Francisco, CA

Nebula Innovations
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Are you ready to define the technological landscape of 2026?

Nebula Innovations is seeking a visionary Senior AI Research Scientist to lead our cutting-edge machine learning division. In this pivotal role, you will not just keep up with emerging trends—you will shape them. We are building the foundational AI models that will power the next generation of enterprise solutions, focusing on scalability, ethical AI, and unprecedented computational efficiency.

You will collaborate with a world-class team of engineers, ethicists, and product strategists to deploy AI systems that are robust, fair, and transformative. If you are passionate about the intersection of deep learning and real-world impact, we want to hear from you.

Responsibilities

  • Lead the design and implementation of proprietary large language models and generative AI architectures tailored for 2026 scalability requirements.
  • Conduct cutting-edge research to advance state-of-the-art algorithms in natural language processing and computer vision.
  • Optimize model inference pipelines to reduce latency and computational costs in high-throughput environments.
  • Collaborate with cross-functional teams to translate complex technical concepts into actionable product features.
  • Establish best practices for MLOps, ensuring reproducibility and monitoring of model performance in production.
  • Publish high-impact research papers and contribute to the open-source community to maintain thought leadership in the industry.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 5+ years of professional experience in deep learning, machine learning, or a similar technical role.
  • Expert proficiency in Python, PyTorch, and TensorFlow.
  • Proven track record of deploying scalable AI models in production environments.
  • Strong understanding of neural network architectures, transformers, and optimization techniques.
  • Excellent communication skills, with the ability to articulate complex technical ideas to diverse stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP CUDA MLOps Transformer Models

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