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AI Research Scientist - Project 2026

Aether Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Welcome to Project 2026, where we are not just predicting the future; we are engineering it. As an AI Research Scientist at Aether Dynamics, you will lead the charge in developing next-generation artificial intelligence architectures designed to solve the world's most complex challenges. We are looking for visionaries who thrive in a fast-paced, high-impact environment to help shape the trajectory of technology by 2026 and beyond.

Our mission is to bridge the gap between human intuition and machine precision. You will have the autonomy to explore uncharted territories in deep learning and generative AI, working alongside world-class engineers and data scientists.

Responsibilities

  • Design and implement state-of-the-art deep learning models for natural language processing and computer vision.
  • Lead research initiatives focused on scalable AI architectures for future-proof solutions.
  • Collaborate with cross-functional teams to translate complex research into deployable, high-performance products.
  • Publish cutting-edge research in top-tier academic conferences and journals.
  • Mentor junior researchers and contribute to a culture of continuous learning and innovation.
  • Optimize neural networks for speed, accuracy, and energy efficiency in cloud environments.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Machine Learning, or a related technical field.
  • Proven experience with Python, PyTorch, TensorFlow, or JAX.
  • Strong background in NLP, Transformers, or Generative AI models.
  • Experience with large-scale distributed computing systems (AWS, GCP, or Azure).
  • Exceptional problem-solving skills and a track record of innovation in AI.
  • Excellent communication skills and the ability to present technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow NLP Machine Learning Deep Learning Artificial Intelligence Cloud Computing AWS GCP Data Science

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