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Lead AI Research Scientist: 2026 Horizon Initiative

Aether Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to architect the future of artificial intelligence? Aether Dynamics is seeking a visionary Lead AI Research Scientist to spearhead our 2026 Horizon Initiative. In this pivotal role, you will be at the forefront of developing next-generation Large Language Models and autonomous agents designed to solve complex global challenges.

We are not just building technology; we are defining the trajectory of human-machine interaction for the decade ahead. Join a team of elite engineers and researchers committed to pushing the boundaries of what is possible. This is an opportunity to work on problems that will shape the industry standard for years to come.

Responsibilities

  • Lead the research and development of cutting-edge AI architectures for the 2026 product roadmap.
  • Collaborate with cross-functional teams to translate theoretical research into scalable production systems.
  • Design and implement novel deep learning algorithms with a focus on efficiency and explainability.
  • Mentor junior researchers and PhD candidates to foster a culture of innovation and excellence.
  • Stay abreast of the latest advancements in the field to ensure our technologies remain industry-leading.
  • Present findings and prototypes at top-tier international conferences and industry events.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, Statistics, or a related technical field.
  • 5+ years of experience in research, machine learning, or artificial intelligence.
  • Proven track record of publishing in premier AI venues (NeurIPS, ICML, ICLR, ACL).
  • Expert proficiency in Python, PyTorch, or TensorFlow.
  • Deep understanding of NLP, LLMs, or Reinforcement Learning.
  • Strong problem-solving skills and the ability to work in a fast-paced, high-growth environment.

Required Skills

Python Machine Learning Deep Learning PyTorch NLP LLMs TensorFlow Research AI Architecture Natural Language Processing

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