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Senior AI Engineer | Future of Intelligence | San Francisco, CA

Aether Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

The Future of 2026 is Here.

We are Aether Dynamics, a premier research lab pioneering the next generation of autonomous intelligence. We are looking for visionary engineers to join our elite team in San Francisco and help architect the systems that will define the year 2026. If you are passionate about pushing the boundaries of what is possible in Deep Learning and Generative AI, we want to hear from you.

Why Join Us?
β€’ Work on cutting-edge projects that will impact the global landscape.
β€’ Competitive compensation package including equity.
β€’ Flexible remote and hybrid work options.
β€’ Access to state-of-the-art hardware and research facilities.

Responsibilities

  • Design, train, and deploy advanced machine learning models for complex, real-world scenarios.
  • Lead the research and development of Generative AI and Large Language Model (LLM) architectures.
  • Optimize neural network performance for edge devices and cloud infrastructure.
  • Collaborate with cross-functional teams of hardware engineers and product managers to deliver scalable solutions.
  • Establish and enforce best practices for code quality, testing, and documentation.
  • Mentor junior data scientists and engineers to foster a culture of innovation.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Robotics, Mathematics, or a related technical field.
  • Minimum of 5 years of professional experience in Deep Learning and NLP.
  • Strong proficiency in Python, PyTorch, and TensorFlow.
  • Experience with MLOps, cloud platforms (AWS/GCP), and containerization (Docker/Kubernetes).
  • Proven track record of publishing research papers or delivering high-impact production systems.
  • Exceptional problem-solving skills and ability to work in a fast-paced, agile environment.

Required Skills

Python PyTorch TensorFlow Deep Learning NLP Machine Learning AWS GCP Docker Kubernetes MLOps Agile

Ready to Take This Challenge?

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