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Senior AI Research Scientist at 2026 | San Francisco, CA

2026
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juni 2026
Deadline
4 Jun 2027

Job Description

Are you ready to shape the future of artificial intelligence? 2026 is on a mission to pioneer the next generation of generative models and neural architectures. We are seeking a visionary Senior AI Research Scientist to join our elite engineering team in San Francisco.


In this role, you will bridge the gap between theoretical research and practical application, pushing the boundaries of what's possible in machine learning. You will work alongside world-class engineers and data scientists to develop scalable AI systems that redefine user experiences.


Why join 2026?

  • Work on cutting-edge technology that impacts billions of users.
  • Competitive compensation package including equity and comprehensive benefits.
  • Flexible remote-first culture with a vibrant office in downtown San Francisco.
  • Access to state-of-the-art computing infrastructure and research grants.

Responsibilities

  • Lead the design and implementation of novel deep learning algorithms and models.
  • Conduct rigorous research to advance the state-of-the-art in Natural Language Processing (NLP) or Computer Vision.
  • Collaborate with cross-functional teams to translate research findings into production-ready software.
  • Publish high-impact research papers at top-tier conferences (NeurIPS, ICML, ACL).
  • Mentor junior researchers and engineers, fostering a culture of innovation and continuous learning.
  • Optimize model performance for speed, accuracy, and resource efficiency.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field.
  • 5+ years of hands-on experience in research and development of AI/ML models.
  • Strong proficiency in Python and deep learning frameworks (PyTorch or TensorFlow).
  • Proven track record of publishing research papers in peer-reviewed venues.
  • Experience with large-scale distributed training and MLOps.
  • Excellent problem-solving skills and ability to work in a fast-paced, agile environment.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP MLOps Research San Francisco

Ready to Take This Challenge?

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