Job Description
Are you ready to define the technological landscape of 2026?
At Aether Dynamics, we aren't just building software; we are architecting the future. We are looking for a visionary Senior AI Visionary Engineer to lead our cutting-edge research division. In this pivotal role, you will bridge the gap between theoretical AI and practical application, driving the innovations that will define the next generation of intelligent systems.
You will operate at the forefront of Generative AI, Large Language Models (LLMs), and autonomous decision-making systems. If you are passionate about solving unsolved problems and have a talent for turning complex algorithms into seamless user experiences, we want to hear from you.
Why join us?
- Work on projects that impact billions of users globally.
- Competitive equity package and top-tier compensation.
- Flexible hybrid work environment in the heart of San Francisco.
- Access to state-of-the-art computing infrastructure and research grants.
Responsibilities
- Architect Next-Gen AI Systems: Design and implement scalable neural network architectures capable of handling real-time, high-volume data streams for 2026 deployment.
- Lead R&D Roadmaps: Define and drive the technical vision for our upcoming product suite, ensuring we stay ahead of industry trends in Generative AI and Machine Learning.
- Model Optimization: Fine-tune and optimize large language models to improve inference speed, accuracy, and energy efficiency.
- Collaborate with Cross-Functional Teams: Partner with product managers, designers, and engineering leads to translate technical requirements into robust, user-centric solutions.
- Code Review & Mentorship: Establish best practices for AI development, conduct rigorous code reviews, and mentor junior engineers to foster a culture of excellence.
- Ethical AI Implementation: Ensure all AI models adhere to strict ethical guidelines and bias mitigation protocols.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Mathematics, Physics, or a related field.
- Experience: 5+ years of professional experience in AI/ML engineering, with a focus on Deep Learning or NLP.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and experience with cloud platforms (AWS/GCP/Azure).
- Specialized Knowledge: Strong understanding of Transformer architectures, Reinforcement Learning, or Quantum Computing principles.
- Problem Solving: Demonstrated ability to tackle complex, ambiguous problems with innovative solutions.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.