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AI Research Scientist (Generative Models) - San Francisco, CA

Aether Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

We are seeking a visionary AI Research Scientist to join our elite team at Aether Dynamics. As we look toward the future of human-machine interaction in 2026 and beyond, you will be at the forefront of developing the next generation of autonomous reasoning systems.

Your work will redefine the boundaries of what is possible, pushing the envelope of Large Language Models (LLMs) and multimodal AI architectures. If you are passionate about shaping the trajectory of artificial general intelligence, this is your opportunity to lead.

Responsibilities

  • Design and implement cutting-edge deep learning algorithms focused on generalizable intelligence.
  • Lead research initiatives to achieve breakthroughs in reasoning, memory, and planning capabilities.
  • Collaborate with engineering teams to deploy scalable models into production environments.
  • Contribute to the open-source community and publish high-impact academic papers.
  • Mentor junior researchers and Ph.D. candidates in advanced machine learning methodologies.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field with a focus on AI/ML.
  • 5+ years of experience in research, preferably within top-tier tech firms or academic institutions.
  • Expert proficiency in Python, PyTorch, and TensorFlow.
  • Strong background in linear algebra, calculus, and probability theory.
  • Demonstrated history of publishing in top-tier conferences (NeurIPS, ICML, ACL).
  • Ability to think creatively about complex problems and propose novel solutions.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Research AI LLMs Generative AI

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