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AI Architect 2026 - San Francisco, CA

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

Job Description

We are on the cusp of a new era in artificial intelligence, and Aether Dynamics is leading the charge toward the year 2026. We are seeking a visionary AI Architect to design the neural architectures that will define the next generation of human-machine interaction.

In this role, you won't just maintain existing systems; you will build the foundational frameworks for autonomous intelligence. If you are passionate about pushing the boundaries of Deep Learning, Generative AI, and Edge Computing, we want to meet you.

Why Join Us?
We offer a competitive compensation package, equity options, and the opportunity to work in a state-of-the-art R&D facility. Be part of a team that is shaping the technological landscape of the future.

Responsibilities

  • Design and deploy scalable, high-performance AI models for next-gen applications.
  • Lead research and development in Generative AI, NLP, and Computer Vision.
  • Optimize neural networks for latency and throughput in distributed environments.
  • Collaborate with product managers and engineers to integrate AI solutions into core business products.
  • Establish best practices for data governance, model training, and ethical AI usage.
  • Stay ahead of industry trends and implement cutting-edge architectural patterns.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • 5+ years of professional experience in Machine Learning Engineering or Data Science.
  • Expert proficiency in Python, PyTorch, TensorFlow, and CUDA.
  • Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Deep understanding of distributed systems, big data processing, and MLOps pipelines.
  • Excellent communication skills and a track record of leading technical initiatives.

Required Skills

Python PyTorch TensorFlow Machine Learning Artificial Intelligence Deep Learning NLP Cloud Computing AWS MLOps CUDA

Ready to Take This Challenge?

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