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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Engineer

Aether Dynamics
Seattle
Estimated Salary
USD 175.000 – USD 245.000
New
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Shape the Intelligence of Tomorrow

Are you ready to lead the charge in the next era of Artificial Intelligence? Aether Dynamics is seeking a visionary Senior AI Engineer to join our elite team in Seattle. As we look toward the advancements of 2026, we are building the neural infrastructure that will define the future of human-machine interaction.

In this role, you won't just write code; you will architect systems that learn, adapt, and evolve. We are a remote-first company with a commitment to diversity, equity, and inclusion. If you are passionate about Deep Learning, Large Language Models, and building ethical AI systems, we want to hear from you.

Why join us?
We offer competitive equity, unlimited PTO, and the opportunity to work on projects that impact billions of users.

Responsibilities

  • Develop and deploy state-of-the-art Generative AI models and Large Language Models (LLMs).
  • Design scalable MLOps pipelines to ensure seamless model training, testing, and deployment.
  • Collaborate with cross-functional teams of researchers and engineers to drive product innovation.
  • Optimize neural network architectures for high performance and low latency in real-time applications.
  • Ensure the ethical and responsible use of AI, adhering to strict data privacy and bias mitigation standards.
  • Conduct cutting-edge research to stay ahead of industry trends in autonomous agents and predictive analytics.

Qualifications

  • 7+ years of experience in software engineering, machine learning, or data science.
  • Expert proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Strong experience with cloud platforms (AWS, GCP) and containerization technologies (Docker, Kubernetes).
  • Deep understanding of MLOps, data pipelines, and model versioning tools.
  • Track record of shipping complex ML products to production environments.
  • BS, MS, or PhD in Computer Science, Mathematics, or a related technical field.

Required Skills

Python Machine Learning Deep Learning MLOps AWS PyTorch TensorFlow Generative AI NLP

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