Job Description
About Aether Dynamics: We are at the forefront of the next technological revolution, building the AI infrastructure for the year 2026 and beyond. We are seeking a visionary Senior AI Architect to lead the design and implementation of scalable machine learning systems that will redefine industry standards. Join a world-class team in San Francisco and shape the future of intelligent automation.
Why Join Us?
- Work on cutting-edge Generative AI and Large Language Model (LLM) projects.
- Competitive compensation and equity packages.
- Flexible remote-first culture with a hub in the heart of San Francisco.
Key Responsibilities:
- Architect and deploy robust, scalable machine learning pipelines from scratch.
- Lead the research and implementation of state-of-the-art deep learning models.
- Optimize model inference for low-latency, high-volume environments.
- Mentor junior engineers and data scientists, fostering a culture of innovation.
- Collaborate cross-functionally with product and engineering teams to define technical roadmap.
- Ensure best practices in data governance, security, and MLOps.
Qualifications:
- Master’s or PhD in Computer Science, Statistics, or a related field.
- 5+ years of professional experience in Machine Learning or Artificial Intelligence.
- Strong proficiency in Python, PyTorch, or TensorFlow.
- Extensive experience with cloud platforms (AWS, GCP, or Azure).
- Demonstrated success in deploying LLMs and NLP applications in production.
- Excellent problem-solving skills and ability to thrive in a fast-paced startup environment.
Responsibilities
- Architect and deploy robust, scalable machine learning pipelines from scratch.
- Lead the research and implementation of state-of-the-art deep learning models.
- Optimize model inference for low-latency, high-volume environments.
- Mentor junior engineers and data scientists, fostering a culture of innovation.
- Collaborate cross-functionally with product and engineering teams to define technical roadmap.
- Ensure best practices in data governance, security, and MLOps.
Qualifications
- Master’s or PhD in Computer Science, Statistics, or a related field.
- 5+ years of professional experience in Machine Learning or Artificial Intelligence.
- Strong proficiency in Python, PyTorch, or TensorFlow.
- Extensive experience with cloud platforms (AWS, GCP, or Azure).
- Demonstrated success in deploying LLMs and NLP applications in production.
- Excellent problem-solving skills and ability to thrive in a fast-paced startup environment.