Job Description
Shape the Future of Intelligence
Welcome to Nebula Systems, a pioneer in pre-futuristic infrastructure. We are currently accelerating our roadmap for Project 2026, a next-generation autonomous decision-making ecosystem designed to revolutionize urban logistics and planetary monitoring. We are seeking a visionary Senior AI Architect to lead the development of our core neural frameworks.
As part of our elite technical team, you will be responsible for architecting scalable, fault-tolerant AI models that operate in high-latency environments. If you are passionate about pushing the boundaries of what is possible today to prepare for tomorrow, we want to hear from you.
Why Join Us?
- Impact: Directly influence the trajectory of global AI development.
- Environment: Work in a state-of-the-art, collaborative hub in the heart of San Francisco.
- Equity: Competitive equity package tied to the success of Project 2026.
Responsibilities
- System Architecture: Design and implement scalable neural network architectures capable of processing petabytes of real-time spatial data for Project 2026.
- Model Optimization: Reduce inference latency and improve model accuracy for edge computing devices and distributed cloud nodes.
- Research Integration: Bridge the gap between theoretical research and production-ready code by integrating cutting-edge breakthroughs into our core engine.
- Team Leadership: Mentor a team of data scientists and ML engineers, establishing best practices for code quality and deployment pipelines.
- Prototyping: Rapidly prototype and validate new algorithms to test hypotheses for future system capabilities.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Mathematics, or a related quantitative field.
- Experience: 7+ years of professional experience in Machine Learning, Deep Learning, or Artificial Intelligence.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (e.g., Kubernetes, Apache Spark).
- Specialization: Strong background in Natural Language Processing (NLP) or Computer Vision is highly preferred.
- Problem Solving: Demonstrated ability to solve complex, ambiguous problems with innovative technical solutions.