Job Description
Shape the Future of Technology with Nebula Innovations
We are pioneering the technologies that will define the year 2026 and beyond. As a Lead AI Engineer, you won't just be building software; you will be architecting the intelligent systems that power our next generation of products. We are looking for a visionary leader who thrives on ambiguity and is passionate about the future of Artificial Intelligence.
Join our elite engineering team in the heart of San Francisco and take the lead in developing scalable, state-of-the-art machine learning models. If you have a strategic mindset and technical excellence, this is your chance to define the roadmap for the future.
Responsibilities
- Architect and implement scalable AI solutions aligned with the 2026 product roadmap and strategic vision.
- Lead a high-performance engineering team in developing cutting-edge machine learning models and deep learning architectures.
- Collaborate closely with product managers and designers to translate futuristic concepts into robust technical specifications.
- Optimize existing algorithms for speed, accuracy, and resource efficiency to handle large-scale data processing.
- Conduct research on emerging AI trends, quantum computing applications, and next-gen neural networks.
- Establish best practices for code quality, testing, and deployment in a cloud-native environment.
Qualifications
- Master’s degree in Computer Science, Artificial Intelligence, or a related field; PhD preferred.
- 7+ years of professional experience in software engineering, with at least 3 years in a lead or architect role.
- Proven experience building and deploying production-grade machine learning models using Python, TensorFlow, and PyTorch.
- Deep expertise in cloud infrastructure (AWS, Azure, or GCP) and containerization technologies like Docker and Kubernetes.
- Strong understanding of data structures, algorithms, and software design patterns.
- Excellent communication skills, with the ability to translate complex technical concepts to non-technical stakeholders.