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Senior AI Research Scientist

Aether Dynamics
San Francisco
Salary Estimate
USD 180.000 – USD 250.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join the Future of Intelligence. Aether Dynamics is pioneering the next generation of autonomous systems through cutting-edge research in Large Language Models (LLMs) and Computer Vision. We are looking for a visionary Senior AI Research Scientist to lead our model training initiatives and bridge the gap between theoretical research and production-grade deployment.


Why Join Us?
Work with world-class engineers and researchers in a high-performance, collaborative environment. You will have the autonomy to experiment with novel architectures while building scalable solutions that impact millions of users globally.

Responsibilities

  • Design, develop, and optimize state-of-the-art deep learning models and algorithms.
  • Research and implement novel techniques in Natural Language Processing (NLP) and Generative AI.
  • Collaborate with cross-functional teams (Product, Engineering, and Data Science) to translate research into production features.
  • Optimize models for inference speed, accuracy, and resource efficiency on cloud infrastructure.
  • Conduct rigorous experiments, analyze results, and document findings for technical publication or internal knowledge bases.
  • Mentor junior data scientists and researchers, fostering a culture of innovation and continuous learning.

Qualifications

  • Master’s degree or PhD in Computer Science, Mathematics, Statistics, or a related technical field.
  • Minimum of 5+ years of professional experience in Machine Learning or Artificial Intelligence.
  • Strong proficiency in Python, PyTorch, or TensorFlow.
  • Deep understanding of transformer architectures, fine-tuning methods, and LLM alignment.
  • Experience deploying machine learning models in production environments (AWS, GCP, or Azure).
  • Proven track record of publishing in top-tier AI conferences (NeurIPS, ICML, ACL) or patents.

Required Skills

Python PyTorch TensorFlow NLP LLMs MLOps Docker Kubernetes AWS Machine Learning Deep Learning Transformer Models

Ready to Take on This Challenge?

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