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AI Visionary Engineer 2026 | San Francisco, CA

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

Job Description

We are seeking a visionary AI Engineer to spearhead our next-generation research initiatives aimed at defining the technological landscape of 2026. At Aether Dynamics, we don't just predict the future; we architect it.


As a key member of our elite R&D division, you will be responsible for developing proprietary algorithms that push the boundaries of machine learning and artificial intelligence. This role requires a blend of deep technical expertise and strategic foresight to build scalable systems for tomorrow.


Why Join Us?

  • Competitive base salary ($180k - $250k) and equity package.
  • Flexible remote-first culture with a central hub in San Francisco.
  • Access to cutting-edge hardware and proprietary datasets.
  • Clear path to leadership and executive mentorship.

Responsibilities

  • Architect and deploy scalable machine learning models designed for high-velocity data environments.
  • Conduct cutting-edge research in Natural Language Processing (NLP) and Computer Vision.
  • Collaborate with cross-functional teams to translate complex research into production-ready software.
  • Identify emerging trends in AI technology to keep Aether Dynamics at the forefront of the industry.
  • Mentor junior engineers and foster a culture of innovation and technical excellence.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Proven experience (5+ years) in Python, TensorFlow, or PyTorch.
  • Strong understanding of deep learning architectures and neural networks.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Excellent problem-solving skills and the ability to thrive in a fast-paced, ambiguous environment.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning NLP Cloud Computing Docker Kubernetes

Ready to Take This Challenge?

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