Job Description
Are you ready to architect the future?
Aether Dynamics is seeking a visionary Senior AI Architect to lead our groundbreaking Project 2026. In this pivotal role, you will define the neural infrastructure for next-generation autonomous systems, pushing the boundaries of what is possible in artificial intelligence and human-machine interaction.
As a key member of our elite R&D division, you won't just write code; you will shape the ethical frameworks and scalable architectures that define the technological landscape of the year 2026 and beyond. If you are driven by complexity and innovation, this is your opportunity to leave a lasting legacy.
Why join us?
- Work on the bleeding edge of AI and Quantum Computing integration.
- Competitive compensation and equity packages.
- Flexible remote-first culture with premium office amenities in SF.
Responsibilities
- Architect Design: Design and implement robust, scalable machine learning pipelines and neural network architectures for the Project 2026 initiative.
- Research & Development: Conduct cutting-edge research in generative AI and predictive modeling to solve complex, real-world problems.
- System Optimization: Optimize existing models for inference speed and accuracy, ensuring low-latency performance in critical applications.
- Ethical AI: Establish and enforce guidelines for ethical AI usage, ensuring transparency and fairness in algorithmic decision-making.
- Collaboration: Partner with cross-functional teams of data scientists, engineers, and product managers to translate research into production-ready features.
- Technical Leadership: Mentor junior engineers and conduct code reviews to maintain high technical standards across the engineering department.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: 5+ years of professional experience in machine learning engineering or software architecture.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and experience with cloud platforms (AWS/GCP/Azure).
- Knowledge: Deep understanding of deep learning architectures, NLP, or Reinforcement Learning.
- Problem Solving: Demonstrated ability to tackle ambiguous problems and deliver scalable solutions under tight deadlines.
- Communication: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.