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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Research Scientist

2026
San Francisco
Estimated Salary
USD 160.000 – USD 230.000
New
Live Update
2 Juni 2026
Deadline
2 Jun 2027

Job Description

Join the Future at 2026

2026 is pioneering the next generation of generative intelligence. We are looking for a visionary Senior AI Research Scientist to lead our cutting-edge research division. In this role, you will define the architectural strategies for our proprietary LLMs and drive the development of scalable, safe, and efficient artificial intelligence systems. You will collaborate with top-tier engineers and product teams to transform theoretical research into tangible products that shape the future of human-computer interaction.


Why Join Us?

β€’ Work on ambitious projects that define the roadmap for 2026 and beyond.
β€’ Competitive compensation package and equity opportunities.
β€’ Access to state-of-the-art compute resources and research grants.
β€’ A culture of innovation, autonomy, and continuous learning.

Responsibilities

  • Lead high-impact research initiatives focused on Large Language Models (LLMs), reinforcement learning, and multimodal AI.
  • Design, implement, and evaluate novel algorithms to improve model accuracy, efficiency, and safety.
  • Collaborate with cross-functional teams to translate research findings into production-ready features.
  • Publish papers in top-tier conferences (NeurIPS, ICML, ACL) and contribute to the open-source community.
  • Mentor junior researchers and engineers, fostering a culture of technical excellence.
  • Stay abreast of the latest advancements in AI to ensure 2026 remains at the forefront of innovation.

Qualifications

  • PhD or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
  • 5+ years of hands-on experience in research and development of machine learning models.
  • Strong proficiency in Python, PyTorch, or TensorFlow.
  • Proven track record of publishing in peer-reviewed venues or shipping high-impact open-source models.
  • Deep understanding of NLP, deep learning architectures, and distributed systems.
  • Excellent problem-solving skills and the ability to work in a fast-paced, agile environment.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP LLMs Reinforcement Learning GPT Transformer Architecture

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