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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Research Scientist

2026
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Join 2026 and Architect the Future of Intelligence.

We are not just building AI; we are defining the trajectory of human-machine collaboration. At 2026, we are at the forefront of Generative AI and Large Language Model development. We are looking for a visionary Senior AI Research Scientist to lead our R&D initiatives, pushing the boundaries of what is possible in 2026 and beyond.

In this role, you will bridge the gap between theoretical research and scalable production systems. You will work with world-class engineers and data scientists to build the next generation of intelligent agents that will reshape industries.

Why 2026?

  • Work on cutting-edge technology that matters.
  • Competitive compensation package with equity options.
  • Flexible remote-first culture supporting US-based talent.
  • Opportunity for rapid career growth in a booming sector.

Responsibilities

  • Lead the design and implementation of novel deep learning architectures and algorithms.
  • Conduct high-level research to identify new AI methodologies and integrate them into our core products.
  • Collaborate with product teams to translate research findings into deployable, high-performance models.
  • Mentor junior data scientists and engineers, fostering a culture of innovation and technical excellence.
  • Optimize existing models for inference speed and resource efficiency in cloud environments.
  • Stay ahead of the curve on the latest academic papers and industry trends in NLP and Computer Vision.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Mathematics, or a related quantitative field.
  • 5+ years of experience in machine learning, deep learning, or artificial intelligence research.
  • Proven expertise in Python, PyTorch, or TensorFlow.
  • Strong publication record in top-tier conferences (NeurIPS, ICML, ACL, CVPR, etc.) is highly preferred.
  • Experience with distributed training systems and large-scale data processing (e.g., Spark, Ray).
  • Excellent communication skills and the ability to present complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Deep Learning NLP Machine Learning Large Language Models Research Distributed Systems SQL

Ready to Take This Challenge?

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