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Senior AI Research Scientist - 2026 Systems

2026 Systems
San Francisco
Estimated Salary
USD 160.000 – USD 230.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

We are seeking a visionary Senior AI Research Scientist to join 2026 Systems, a premier research lab dedicated to architecting the artificial intelligence infrastructure for the year 2026 and beyond. If you are passionate about pushing the boundaries of generative models, large language models, and ethical AI, we want to hear from you.

In this pivotal role, you will lead the development of our flagship AI models, ensuring they are scalable, robust, and aligned with future human values. You will work in a dynamic environment that bridges the gap between theoretical research and production-grade engineering.

Why Join Us?

  • Work on cutting-edge AI technology that defines the next decade.
  • Competitive salary and equity package.
  • Flexible remote-first policy with a hub in San Francisco.
  • Access to state-of-the-art computing infrastructure.

Responsibilities

  • Lead the design and implementation of large-scale neural network architectures for next-gen AI applications.
  • Conduct high-impact research to improve model accuracy, efficiency, and safety parameters.
  • Collaborate closely with software engineering teams to deploy research models into production environments.
  • Publish peer-reviewed papers in top-tier AI conferences (NeurIPS, ICML, ICLR) and contribute to open-source communities.
  • Define technical roadmaps for the 2026 product roadmap and mentor junior researchers and data scientists.
  • Ensure compliance with ethical AI standards and bias mitigation protocols.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field with a focus on Artificial Intelligence.
  • Minimum of 5 years of industry experience in machine learning research and development.
  • Deep expertise in deep learning frameworks such as PyTorch or TensorFlow.
  • Strong background in Natural Language Processing (NLP) or Computer Vision.
  • Proven track record of publishing in recognized academic venues.
  • Excellent problem-solving skills and ability to work in fast-paced, ambiguous environments.
  • Fluency in English and ability to communicate complex technical concepts clearly.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Computer Vision Generative AI Research Data Science

Ready to Take This Challenge?

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