Job Description
Join 2026, the pioneering force redefining the boundaries of artificial intelligence. We are not just predicting the future; we are architecting it. As we approach our strategic launch year of 2026, we are seeking a visionary Senior AI Engineer to lead our core infrastructure and model deployment strategies.
In this pivotal role, you will work directly with our CTO and a world-class team of data scientists and engineers. You will be responsible for designing scalable neural networks, optimizing deep learning pipelines, and ensuring our AI solutions are robust, secure, and ready for global scale. If you are passionate about the intersection of cutting-edge technology and human potential, this is your opportunity to make history.
Why Join Us?
- Shape the Future: Work on projects that define the next decade of tech.
- Equity Package: Competitive stock options in a high-growth unicorn.
- Top-Tier Benefits: Comprehensive health, dental, and vision coverage.
- Flexible Work Culture: Remote-first with a premium office in the heart of SF.
Responsibilities
- Architect and deploy large-scale machine learning models on cloud infrastructure (AWS/GCP).
- Optimize inference latency and computational efficiency for real-time applications.
- Collaborate with data scientists to translate research into production-ready code.
- Design robust data pipelines and ETL processes to support model training.
- Implement best practices for MLOps, CI/CD, and containerization (Docker/Kubernetes).
- Conduct code reviews and mentor junior engineers to foster technical growth.
- Stay abreast of the latest advancements in AI research and integrate relevant innovations.
Qualifications
- Bachelor's or Master's degree in Computer Science, Mathematics, or a related technical field.
- 5+ years of professional experience in software engineering and machine learning.
- Proficiency in Python and deep learning frameworks (PyTorch or TensorFlow).
- Strong understanding of distributed systems and scalable architecture.
- Experience with cloud platforms, specifically AWS or Google Cloud Platform.
- Solid understanding of SQL and NoSQL databases.
- Excellent problem-solving skills and ability to work in a fast-paced, agile environment.